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Xinheng Wang

University of the West of Scotland (UWS), School of Computing, Faculty Member

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Address: London, United Kingdom

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Vrije Universiteit Brussel

Jordi Vallverdú

Universitat Autònoma de Barcelona

Carnegie Mellon University

Mark Billinghurst

University of Canterbury/Te Whare Wānanga o Waitaha

Suryadiputra Liawatimena

BINUS University

Kansas State University

University of Twente

Sharif University of Technology

Ioannis (John) D. Doukas

Aristotle University of Thessaloniki

Mathieu Ossendrijver

Freie Universität Berlin

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Papers by Xinheng Wang

IRT-SD-SLE: An Improved Real-time Step Detection and Step Length Estimation using Smartphone Accelerometer

Smartphone sensor-based pedestrian dead reckoning (PDR) systems provide a viable solution to the... more Smartphone sensor-based pedestrian dead reckoning (PDR) systems provide a viable solution to the problem of localization in an infrastructure-less area. Step detection (SD) and step length estimation (SLE), being two fundamental operations of the PDR based localization technique, have drawn many researchers’ attention in the recent time. Most of the existing SD and SLE methods proposed over the years, however, provide either server- or cloud-based solution that consume additional network bandwidth and suffer from increased transmission delay. Moreover, nonavailability of the inertial sensors like gyroscope, magnetometers etc. at every smartphone makes majority of the existing SLE methods less applicable to such devices. To address the above-said issues, in this paper we focus on devising an improved SLE method that would detect the pedestrian’s steps and subsequently estimate the step length in real-time by processing the accelerometer data at the device itself. Our proposed method...

Multiuser Detection Using Hybrid ARQ with Incremental Redundancy in Overloaded MIMO Systems (Workshop Paper)

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2019

Multiple Input and Multiple Output (MIMO) systems use multiple antennas at both transmitter and r... more Multiple Input and Multiple Output (MIMO) systems use multiple antennas at both transmitter and receiver ends for increasing link capacity and spectral efficiency. However, combining schemes used for such systems face critical issues such as presence of interference, signals to interference and noise ratios (SINRs) and complexity. To overcome the asserted issues; in this paper linear multiuser detection techniques are employed in over loaded MIMO systems where the number of transmit antennas (Nt) is greater than number of receiver antennas (Nr), using Hybrid Automatic Repeat request with Incremental Redundancy (HARQ IR). The primary aim of this research is to enhance bit error rate (BER) and throughput by transforming an overloaded MIMO systems (Nt > Nr) into critically loaded system (Nt = Nr) or under loaded MIMO systems (Nt < Nr) by simple retransmission method. Simulation results show unprecedented performance compared to contemporary approaches in term of throughput and BER.

An efficient clustering with robust outlier mitigation for Wi-Fi fingerprint based indoor positioning

Applied Soft Computing, 2021

Abstract Wi-Fi fingerprint systems provide cost-effective and reliable solution for indoor positi... more Abstract Wi-Fi fingerprint systems provide cost-effective and reliable solution for indoor positioning. However, such systems incur high calibration cost in the training phase and high searching overhead in the positioning phase. Moreover, huge storage requirement for the radio map of a large-scale fingerprint system is another major issue. Several solutions based on crowd-sourcing or machine learning technique have been proposed in literature to reduce the calibration overhead. On the other hand, various clustering methods have been proposed over the past decade to reduce the searching overhead. However, none of the existing systems has addressed the issue of high storage requirement for the fingerprint database constructed in the training phase. Moreover, presence of outlier in the received signal strength (RSS) measurements severely impacts the positioning accuracy of such systems. Thus, this paper proposes an efficient clustering strategy for fingerprint based positioning systems to reduce the storage overhead and searching overhead incurred by such systems and also proposes a robust outlier mitigation technique to improve their positioning accuracy. The performances of our proposed positioning system are evaluated and compared with five existing fingerprint techniques in both the simulation test bed as well as real indoor environment via extensive experimentation. The experimental results demonstrate that our proposed system can not only reduce the storage overhead and searching overhead but also improve the positioning accuracy compared to the other existing techniques.

APPR: Additive Personalized Point-of-Interest Recommendation

2018 IEEE Global Communications Conference (GLOBECOM), 2018

Providing location recommendations has become an essential feature for location-based social netw... more Providing location recommendations has become an essential feature for location-based social networks (LBSNs), as it helps the users to explore new places and makes LBSNs more prevalent to them. Existing studies mostly focus on introducing the new features that affect users' check-in behaviours in LBSNs. However, despite the difference in the type of the features exploited, they mostly follow the same principle - characterizing dependencies between the probability of a user visiting a point-of-interest (POI) and each feature separately. The decision of a user on where to go in an LBSN, however, is driven by multiple features that act simultaneously. On the other hand, applying a full model which considers all the features jointly suffers from overfitting, as for each user there is limited available data. In this paper, we propose an intermediate solution by fragmenting the model into multiple partial models which each takes the subset of the features as the input. The proposed approach focuses on building the personalized partial models (PRMs) which are further combined by applying an additive approach. Experiments on two datasets from Foursquare show that our proposed method outperforms the state-of-the-art approaches in POI recommendation.

Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System

Communications in Computer and Information Science, 2020

The security of data storage, transmission, and processing is emerging as an important considerat... more The security of data storage, transmission, and processing is emerging as an important consideration in many data analytics techniques and technologies. For instance, in machine learning, the datasets could contain sensitive information that cannot be protected by traditional encryption approaches. Homomorphic encryption schemes and secure multi-party computation are considered as a solution for privacy protection. In this paper, we propose a homomorphic Logistic Regression based on Residue Number System (LR-RNS) that provides security, parallel processing, scalability, error detection, and correction. We verify it using six known datasets from medicine (diabetes, cancer, drugs, etc.) and genomics. We provide experimental analysis with 30 configurations for each dataset to compare the performance and quality of our solution with the state of the art algorithms. For a fair comparison, we use the same 5-fold cross-validation technique. The results show that LR-RNS demonstrates similar accuracy and performance of the classification algorithm at various thresholds settings but with the reduction of training time from 85.4% to 97.5%.

A Dynamic Service Class Mapping Scheme for Different QoS Domains Using Flow Aggregation

IEEE Systems Journal, 2015

This paper addresses the issue of provisioning endto-end quality of service (QoS) for multimedia ... more This paper addresses the issue of provisioning endto-end quality of service (QoS) for multimedia services over heterogeneous networks and introduces a parametric model by using network calculus theory for QoS class mapping between different QoS domains. Then, a QoS mapping scheme based on flow aggregation (QMS-FAG) is proposed in this paper to mitigate the information loss problem due to mapping between QoS domains with different granularity of QoS class and to provide efficient network resources utilization by considering user's quality of experience. In QMS-FAG, the QoS requirements of service flows are indicated by a unique FAG identifier, which is described in a service flow map of QoS parameters. With FAG identifier and mapping executors sitting at the border of different QoS domains, QMS-FAG allows smooth QoS class mapping between networks with different granularity of QoS class. Both numerical analysis and simulation studies are given to demonstrate the efficiency of the proposed method. Index Terms-Diffserv networks, heterogeneous networks, quality of experience, quality of service class mapping, quality of service (QoS). I. INTRODUCTION Q UALITY of service (QoS) class mapping is an effective method to provide end-to-end QoS for the multimedia services with differentiated priority over heterogeneous networks. The level of QoS classes for networks is recommended by global standardization organizations, such as the International Telecommunication Union, the Internet Engineering Task Force, the Third Generation Partnership Project,

Medical complaints: a solution based on Internet

IET 3rd International Conference MEDSIP 2006. Advances in Medical, Signal and Information Processing, 2006

Agent-Based Credibility Protection Model for Decentralized Network Computing Environment

Lecture Notes in Computer Science, 2013

Decentralized networks have some unique characteristics, such as heterogeneity, autonomy, distrib... more Decentralized networks have some unique characteristics, such as heterogeneity, autonomy, distribution and openness, which lead to serious security issues and low credibility. In this paper, the agent technology is utilized to construct a novel credibility protection model, which efficiently makes open, disordered, decentralized networks evolve gradually as an orderly, stable and reliable computing environment. Within this model, our research is focused on the credibility measurement mechanism, and a novel behavior-credibility evaluation algorithm is proposed. The evaluation value of behavior-credibility is calculated based on the current and historical performances of nodes as service providers and consumers to make an accurate prediction. Based on a decentralized network simulation environment, we conducted several rounds of simulation experiments to test the function, performance and validity of the model, mechanism and algorithm.

Applications of WiMAX-based wireless mesh network in monitoring wind farms

International Journal of Networking and Virtual Organisations, 2010

... of more convenient and efficient communications in monitoring station and wind turbines is hi... more

Special issue on mobile computing for content/service-oriented networking architecture

Computer Networks, 2014

A Monte Carlo Localization algorithm for 2-D indoor self-localization based on magnetic field

2013 8th International Conference on Communications and Networking in China (CHINACOM), 2013

Evidence shows that a large variety of animals use Earth's magnetic field for navigation. Inspire... more Evidence shows that a large variety of animals use Earth's magnetic field for navigation. Inspired by this intriguing ability of animals, we propose a MCL algorithm that utilizes local anomalies of magnetic field to achieve 2-D indoor selflocalization. Monte Carlo Localization (MCL) is one of the most popular probabilistic techniques due to the high efficiency and accuracy, but one potential problem is particle impoverishment. In order to further improve the performance of MCL, we employ a clustering approach to get the clustering information and thus resolving the problem of losing effective particles. The approach has been implemented and intensively tested in real-world environments. The result shows that the proposed approach provides a simple, robust, low-cost solution for indoor localization.

Multi-Path Routing and Channel Assignment Framework for Mesh Cognitive Radio Network (MRCAMC)

International Journal of Wireless & Mobile Networks, 2011

Dynamic spectrum access is an attractive area of research these days. Cognitive Radio (CR) enable... more Dynamic spectrum access is an attractive area of research these days. Cognitive Radio (CR) enabled networks are being deployed to effectively utilize the RF spectrum. Wireless mesh networks have been experiencing the bandwidth scarcity but such networks can easily enhance their throughput by using the CR transceivers as these networks have the capability of multipath routing. Existing routing proposals for Mesh Cognitive Radio Networks (MCRNs) are not considering the dynamic spectrum availability. They try to treat CRNs as traditional wireless networks. Even some proposals treat the problems of these networks like that of wired networks and use the same parameter for route discovery as for wired networks. In this paper, we propose a joint interaction between on-demand routing and channel assignment that accounts the characteristics of CRNs.

Routing Techniques In Cognitive Radio Networks: A Survey

International Journal of Wireless & Mobile Networks, 2011

Cognitive Radio Networks (CRNs) are being studied intensively. The major motivation for this is t... more Cognitive Radio Networks (CRNs) are being studied intensively. The major motivation for this is the heavily underutilized frequency spectrum. CRN has the capability to utilize the unutilized frequency spectrum. Routing in CRN is a challenging task due the diversity in the available channels and data rates. In this paper, we present a survey of the state-of-the-art routing techniques in CRNs. We first outline the design challenges for routing protocols in CRNs followed by a comprehensive survey of different routing techniques. Furthermore we classified these routing protocols into spectrum aware-based, multipathbased, local coordination-based, reactive source-based and tree-based routing techniques depending on the protocol operation.

Design and Analysis of a Novel Hybrid Wireless Mesh Network Routing Protocol

International Journal of Adaptive, Resilient and Autonomic Systems, 2014

Wireless mesh network (WMN) operates both in infrastructure and ad-hoc mode. It provides extended... more Wireless mesh network (WMN) operates both in infrastructure and ad-hoc mode. It provides extended network coverage based on heterogeneous wireless technologies through multi-hop communications. In WMNs, the routing mechanisms and network organization need to be improved so that optimal path discovery or different protocols adaptability can be achieved. Hybrid routing is a demanding issue to be discussed these days as need of higher mobility management in the diverse situations and environments. It's required to improve the older schemes for higher data rate and minimum energy consumptions. The proposed work presents a design of a novel routing algorithm for optimal route discovery, congestion reduction, dynamic route selection and scalability in hybrid mesh networks. The authors have focused on Hybrid Routing Protocols to originate a novel routing scheme based on AODV (Ad hoc On-Demand Distance Vector routing protocol) in Ad-Hoc level with clustering scheme and DSDV (Destination...

A reservation-type protocol for channel-aware ALOHA

21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2010

ABSTRACT We consider a contention based random access protocol for networks with multiple users s... more ABSTRACT We consider a contention based random access protocol for networks with multiple users sharing the same transmission medium. Specifically, communication channel between the base station and each user is modeled by a simplified finite-state Markov model to capture the correlation of the channel evolution in time. Under this scenario, we study a reservation-type protocol in channel aware ALOHA context. We formulate the Markovian model necessitates a state description consisting the outcome of the transmission in each slot. The average throughput of the scheme is obtained using the Markov Analysis technique, and we show that reservation help improve the system performance by reducing the number of collision in transmission. Numerical results show that the proposed scheme always improves the system performance when the user channels are more correlated over the time.

Source nodes localisation algorithm for large-scale wireless sensor networks using self-organising isometric mapping

International Journal of Sensor Networks, 2010

... WSNs. Multidimensional Scaling (MDS) based methods are very attractive for sensor localisatio... more

Integration of hybrid wireless networks in cloud services oriented enterprise information systems

Enterprise Information Systems, 2012

This article presents a hybrid wireless network integration scheme in cloud services-based enterp... more This article presents a hybrid wireless network integration scheme in cloud services-based enterprise information systems (EISs). With the emerging hybrid wireless networks and cloud computing technologies, it is necessary to develop a scheme that can seamlessly integrate these new technologies into existing EISs. By combining the hybrid wireless networks and computing in EIS, a new framework is proposed, which includes frontend layer, middle layer and backend layers connected to IP EISs. Based on a collaborative architecture, cloud services management framework and process diagram are presented. As a key feature, the proposed approach integrates access control functionalities within the hybrid framework that provide users with filtered views on available cloud services based on cloud service access requirements and user security credentials. In future work, we will implement the proposed framework over SwanMesh platform by integrating the UPnP standard into an enterprise information system.

Dynamic Service Migration in Ultra-Dense Multi-Access Edge Computing network for High Mobility Scenarios

The Multi-Access Edge Computing (MEC) has higher computing power than user equipment and lower la... more The Multi-Access Edge Computing (MEC) has higher computing power than user equipment and lower latency than remote cloud computing, making new types of services and mobile applications keep emerging. However, the movement of users could induce service migration or interruption in the MEC network. Especially for highly mobile users, they accelerate the frequency of services' migration and handover, impacting on the stability of the total MEC network. In this paper, we propose a hierarchical multi-access edge computing architecture, setting up the Infrastructure for dynamic service migration in the ultra-dense MEC networks. Moreover, we propose a new mechanism for users with high mobility in the ultra-dense MEC network, efficiently arranging service migrations for users with high mobility and ordinary users together. Then, we propose an algorithm for evaluating migrated services to contribute to choose the suitable MEC servers for migrated services. The results show that the propo...

A Highly Stable Fusion Positioning System of Smartphone under NLoS Acoustic Indoor Environment

ACM Transactions on Internet Technology

Fusion positioning technology requires stable and effective positioning data, but this is often c... more Fusion positioning technology requires stable and effective positioning data, but this is often challenging to achieve in complex Non-Line-of-Sight (NLoS) environments. This paper proposes a fusion positioning method that can achieve stable and no hop points by adjusting parameters and predicting trends, even with a one-sided lack of fusion data. The method combines acoustic signal and Inertial Measurement Unit (IMU) data, exploiting their respective advantages. The fusion is achieved using the Kalman filter and Bayesian parameter estimation is performed for tuning IMU parameters and predicting motion trends. The proposed method overcomes the problem of fusion failure caused by long-term unilateral data loss in traditional fusion positioning. The positioning trajectory and error distribution analysis show that the proposed method performs optimally in severe NLoS experiments.

Towards the Sign Function Best Approximation for Secure Outsourced Computations and Control

Mathematics

Homomorphic encryption with the ability to compute over encrypted data without access to the secr... more Homomorphic encryption with the ability to compute over encrypted data without access to the secret key provides benefits for the secure and powerful computation, storage, and communication of resources in the cloud. One of its important applications is fast-growing robot control systems for building lightweight, low-cost, smarter robots with intelligent brains consisting of data centers, knowledge bases, task planners, deep learning, information processing, environment models, communication support, synchronous map construction and positioning, etc. It enables robots to be endowed with secure, powerful capabilities while reducing sizes and costs. Processing encrypted information using homomorphic ciphers uses the sign function polynomial approximation, which is a widely studied research field with many practical results. State-of-the-art works are mainly focused on finding the polynomial of best approximation of the sign function (PBAS) with the improved errors on the union of the ...

IRT-SD-SLE: An Improved Real-time Step Detection and Step Length Estimation using Smartphone Accelerometer

Smartphone sensor-based pedestrian dead reckoning (PDR) systems provide a viable solution to the... more Smartphone sensor-based pedestrian dead reckoning (PDR) systems provide a viable solution to the problem of localization in an infrastructure-less area. Step detection (SD) and step length estimation (SLE), being two fundamental operations of the PDR based localization technique, have drawn many researchers’ attention in the recent time. Most of the existing SD and SLE methods proposed over the years, however, provide either server- or cloud-based solution that consume additional network bandwidth and suffer from increased transmission delay. Moreover, nonavailability of the inertial sensors like gyroscope, magnetometers etc. at every smartphone makes majority of the existing SLE methods less applicable to such devices. To address the above-said issues, in this paper we focus on devising an improved SLE method that would detect the pedestrian’s steps and subsequently estimate the step length in real-time by processing the accelerometer data at the device itself. Our proposed method...

Multiuser Detection Using Hybrid ARQ with Incremental Redundancy in Overloaded MIMO Systems (Workshop Paper)

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2019

Multiple Input and Multiple Output (MIMO) systems use multiple antennas at both transmitter and r... more Multiple Input and Multiple Output (MIMO) systems use multiple antennas at both transmitter and receiver ends for increasing link capacity and spectral efficiency. However, combining schemes used for such systems face critical issues such as presence of interference, signals to interference and noise ratios (SINRs) and complexity. To overcome the asserted issues; in this paper linear multiuser detection techniques are employed in over loaded MIMO systems where the number of transmit antennas (Nt) is greater than number of receiver antennas (Nr), using Hybrid Automatic Repeat request with Incremental Redundancy (HARQ IR). The primary aim of this research is to enhance bit error rate (BER) and throughput by transforming an overloaded MIMO systems (Nt > Nr) into critically loaded system (Nt = Nr) or under loaded MIMO systems (Nt < Nr) by simple retransmission method. Simulation results show unprecedented performance compared to contemporary approaches in term of throughput and BER.

An efficient clustering with robust outlier mitigation for Wi-Fi fingerprint based indoor positioning

Applied Soft Computing, 2021

Abstract Wi-Fi fingerprint systems provide cost-effective and reliable solution for indoor positi... more Abstract Wi-Fi fingerprint systems provide cost-effective and reliable solution for indoor positioning. However, such systems incur high calibration cost in the training phase and high searching overhead in the positioning phase. Moreover, huge storage requirement for the radio map of a large-scale fingerprint system is another major issue. Several solutions based on crowd-sourcing or machine learning technique have been proposed in literature to reduce the calibration overhead. On the other hand, various clustering methods have been proposed over the past decade to reduce the searching overhead. However, none of the existing systems has addressed the issue of high storage requirement for the fingerprint database constructed in the training phase. Moreover, presence of outlier in the received signal strength (RSS) measurements severely impacts the positioning accuracy of such systems. Thus, this paper proposes an efficient clustering strategy for fingerprint based positioning systems to reduce the storage overhead and searching overhead incurred by such systems and also proposes a robust outlier mitigation technique to improve their positioning accuracy. The performances of our proposed positioning system are evaluated and compared with five existing fingerprint techniques in both the simulation test bed as well as real indoor environment via extensive experimentation. The experimental results demonstrate that our proposed system can not only reduce the storage overhead and searching overhead but also improve the positioning accuracy compared to the other existing techniques.

APPR: Additive Personalized Point-of-Interest Recommendation

2018 IEEE Global Communications Conference (GLOBECOM), 2018

Providing location recommendations has become an essential feature for location-based social netw... more Providing location recommendations has become an essential feature for location-based social networks (LBSNs), as it helps the users to explore new places and makes LBSNs more prevalent to them. Existing studies mostly focus on introducing the new features that affect users' check-in behaviours in LBSNs. However, despite the difference in the type of the features exploited, they mostly follow the same principle - characterizing dependencies between the probability of a user visiting a point-of-interest (POI) and each feature separately. The decision of a user on where to go in an LBSN, however, is driven by multiple features that act simultaneously. On the other hand, applying a full model which considers all the features jointly suffers from overfitting, as for each user there is limited available data. In this paper, we propose an intermediate solution by fragmenting the model into multiple partial models which each takes the subset of the features as the input. The proposed approach focuses on building the personalized partial models (PRMs) which are further combined by applying an additive approach. Experiments on two datasets from Foursquare show that our proposed method outperforms the state-of-the-art approaches in POI recommendation.

Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System

Communications in Computer and Information Science, 2020

The security of data storage, transmission, and processing is emerging as an important considerat... more The security of data storage, transmission, and processing is emerging as an important consideration in many data analytics techniques and technologies. For instance, in machine learning, the datasets could contain sensitive information that cannot be protected by traditional encryption approaches. Homomorphic encryption schemes and secure multi-party computation are considered as a solution for privacy protection. In this paper, we propose a homomorphic Logistic Regression based on Residue Number System (LR-RNS) that provides security, parallel processing, scalability, error detection, and correction. We verify it using six known datasets from medicine (diabetes, cancer, drugs, etc.) and genomics. We provide experimental analysis with 30 configurations for each dataset to compare the performance and quality of our solution with the state of the art algorithms. For a fair comparison, we use the same 5-fold cross-validation technique. The results show that LR-RNS demonstrates similar accuracy and performance of the classification algorithm at various thresholds settings but with the reduction of training time from 85.4% to 97.5%.

A Dynamic Service Class Mapping Scheme for Different QoS Domains Using Flow Aggregation

IEEE Systems Journal, 2015

This paper addresses the issue of provisioning endto-end quality of service (QoS) for multimedia ... more This paper addresses the issue of provisioning endto-end quality of service (QoS) for multimedia services over heterogeneous networks and introduces a parametric model by using network calculus theory for QoS class mapping between different QoS domains. Then, a QoS mapping scheme based on flow aggregation (QMS-FAG) is proposed in this paper to mitigate the information loss problem due to mapping between QoS domains with different granularity of QoS class and to provide efficient network resources utilization by considering user's quality of experience. In QMS-FAG, the QoS requirements of service flows are indicated by a unique FAG identifier, which is described in a service flow map of QoS parameters. With FAG identifier and mapping executors sitting at the border of different QoS domains, QMS-FAG allows smooth QoS class mapping between networks with different granularity of QoS class. Both numerical analysis and simulation studies are given to demonstrate the efficiency of the proposed method. Index Terms-Diffserv networks, heterogeneous networks, quality of experience, quality of service class mapping, quality of service (QoS). I. INTRODUCTION Q UALITY of service (QoS) class mapping is an effective method to provide end-to-end QoS for the multimedia services with differentiated priority over heterogeneous networks. The level of QoS classes for networks is recommended by global standardization organizations, such as the International Telecommunication Union, the Internet Engineering Task Force, the Third Generation Partnership Project,

Medical complaints: a solution based on Internet

IET 3rd International Conference MEDSIP 2006. Advances in Medical, Signal and Information Processing, 2006

Agent-Based Credibility Protection Model for Decentralized Network Computing Environment

Lecture Notes in Computer Science, 2013

Decentralized networks have some unique characteristics, such as heterogeneity, autonomy, distrib... more Decentralized networks have some unique characteristics, such as heterogeneity, autonomy, distribution and openness, which lead to serious security issues and low credibility. In this paper, the agent technology is utilized to construct a novel credibility protection model, which efficiently makes open, disordered, decentralized networks evolve gradually as an orderly, stable and reliable computing environment. Within this model, our research is focused on the credibility measurement mechanism, and a novel behavior-credibility evaluation algorithm is proposed. The evaluation value of behavior-credibility is calculated based on the current and historical performances of nodes as service providers and consumers to make an accurate prediction. Based on a decentralized network simulation environment, we conducted several rounds of simulation experiments to test the function, performance and validity of the model, mechanism and algorithm.

Applications of WiMAX-based wireless mesh network in monitoring wind farms

International Journal of Networking and Virtual Organisations, 2010

... of more convenient and efficient communications in monitoring station and wind turbines is hi... more

Special issue on mobile computing for content/service-oriented networking architecture

Computer Networks, 2014

A Monte Carlo Localization algorithm for 2-D indoor self-localization based on magnetic field

2013 8th International Conference on Communications and Networking in China (CHINACOM), 2013

Evidence shows that a large variety of animals use Earth's magnetic field for navigation. Inspire... more Evidence shows that a large variety of animals use Earth's magnetic field for navigation. Inspired by this intriguing ability of animals, we propose a MCL algorithm that utilizes local anomalies of magnetic field to achieve 2-D indoor selflocalization. Monte Carlo Localization (MCL) is one of the most popular probabilistic techniques due to the high efficiency and accuracy, but one potential problem is particle impoverishment. In order to further improve the performance of MCL, we employ a clustering approach to get the clustering information and thus resolving the problem of losing effective particles. The approach has been implemented and intensively tested in real-world environments. The result shows that the proposed approach provides a simple, robust, low-cost solution for indoor localization.

Multi-Path Routing and Channel Assignment Framework for Mesh Cognitive Radio Network (MRCAMC)

International Journal of Wireless & Mobile Networks, 2011

Dynamic spectrum access is an attractive area of research these days. Cognitive Radio (CR) enable... more Dynamic spectrum access is an attractive area of research these days. Cognitive Radio (CR) enabled networks are being deployed to effectively utilize the RF spectrum. Wireless mesh networks have been experiencing the bandwidth scarcity but such networks can easily enhance their throughput by using the CR transceivers as these networks have the capability of multipath routing. Existing routing proposals for Mesh Cognitive Radio Networks (MCRNs) are not considering the dynamic spectrum availability. They try to treat CRNs as traditional wireless networks. Even some proposals treat the problems of these networks like that of wired networks and use the same parameter for route discovery as for wired networks. In this paper, we propose a joint interaction between on-demand routing and channel assignment that accounts the characteristics of CRNs.

Routing Techniques In Cognitive Radio Networks: A Survey

International Journal of Wireless & Mobile Networks, 2011

Cognitive Radio Networks (CRNs) are being studied intensively. The major motivation for this is t... more Cognitive Radio Networks (CRNs) are being studied intensively. The major motivation for this is the heavily underutilized frequency spectrum. CRN has the capability to utilize the unutilized frequency spectrum. Routing in CRN is a challenging task due the diversity in the available channels and data rates. In this paper, we present a survey of the state-of-the-art routing techniques in CRNs. We first outline the design challenges for routing protocols in CRNs followed by a comprehensive survey of different routing techniques. Furthermore we classified these routing protocols into spectrum aware-based, multipathbased, local coordination-based, reactive source-based and tree-based routing techniques depending on the protocol operation.

Design and Analysis of a Novel Hybrid Wireless Mesh Network Routing Protocol

International Journal of Adaptive, Resilient and Autonomic Systems, 2014

Wireless mesh network (WMN) operates both in infrastructure and ad-hoc mode. It provides extended... more Wireless mesh network (WMN) operates both in infrastructure and ad-hoc mode. It provides extended network coverage based on heterogeneous wireless technologies through multi-hop communications. In WMNs, the routing mechanisms and network organization need to be improved so that optimal path discovery or different protocols adaptability can be achieved. Hybrid routing is a demanding issue to be discussed these days as need of higher mobility management in the diverse situations and environments. It's required to improve the older schemes for higher data rate and minimum energy consumptions. The proposed work presents a design of a novel routing algorithm for optimal route discovery, congestion reduction, dynamic route selection and scalability in hybrid mesh networks. The authors have focused on Hybrid Routing Protocols to originate a novel routing scheme based on AODV (Ad hoc On-Demand Distance Vector routing protocol) in Ad-Hoc level with clustering scheme and DSDV (Destination...

A reservation-type protocol for channel-aware ALOHA

21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2010

ABSTRACT We consider a contention based random access protocol for networks with multiple users s... more ABSTRACT We consider a contention based random access protocol for networks with multiple users sharing the same transmission medium. Specifically, communication channel between the base station and each user is modeled by a simplified finite-state Markov model to capture the correlation of the channel evolution in time. Under this scenario, we study a reservation-type protocol in channel aware ALOHA context. We formulate the Markovian model necessitates a state description consisting the outcome of the transmission in each slot. The average throughput of the scheme is obtained using the Markov Analysis technique, and we show that reservation help improve the system performance by reducing the number of collision in transmission. Numerical results show that the proposed scheme always improves the system performance when the user channels are more correlated over the time.

Source nodes localisation algorithm for large-scale wireless sensor networks using self-organising isometric mapping

International Journal of Sensor Networks, 2010

... WSNs. Multidimensional Scaling (MDS) based methods are very attractive for sensor localisatio... more

Integration of hybrid wireless networks in cloud services oriented enterprise information systems

Enterprise Information Systems, 2012

This article presents a hybrid wireless network integration scheme in cloud services-based enterp... more This article presents a hybrid wireless network integration scheme in cloud services-based enterprise information systems (EISs). With the emerging hybrid wireless networks and cloud computing technologies, it is necessary to develop a scheme that can seamlessly integrate these new technologies into existing EISs. By combining the hybrid wireless networks and computing in EIS, a new framework is proposed, which includes frontend layer, middle layer and backend layers connected to IP EISs. Based on a collaborative architecture, cloud services management framework and process diagram are presented. As a key feature, the proposed approach integrates access control functionalities within the hybrid framework that provide users with filtered views on available cloud services based on cloud service access requirements and user security credentials. In future work, we will implement the proposed framework over SwanMesh platform by integrating the UPnP standard into an enterprise information system.

Dynamic Service Migration in Ultra-Dense Multi-Access Edge Computing network for High Mobility Scenarios

The Multi-Access Edge Computing (MEC) has higher computing power than user equipment and lower la... more The Multi-Access Edge Computing (MEC) has higher computing power than user equipment and lower latency than remote cloud computing, making new types of services and mobile applications keep emerging. However, the movement of users could induce service migration or interruption in the MEC network. Especially for highly mobile users, they accelerate the frequency of services' migration and handover, impacting on the stability of the total MEC network. In this paper, we propose a hierarchical multi-access edge computing architecture, setting up the Infrastructure for dynamic service migration in the ultra-dense MEC networks. Moreover, we propose a new mechanism for users with high mobility in the ultra-dense MEC network, efficiently arranging service migrations for users with high mobility and ordinary users together. Then, we propose an algorithm for evaluating migrated services to contribute to choose the suitable MEC servers for migrated services. The results show that the propo...

A Highly Stable Fusion Positioning System of Smartphone under NLoS Acoustic Indoor Environment

ACM Transactions on Internet Technology

Fusion positioning technology requires stable and effective positioning data, but this is often c... more Fusion positioning technology requires stable and effective positioning data, but this is often challenging to achieve in complex Non-Line-of-Sight (NLoS) environments. This paper proposes a fusion positioning method that can achieve stable and no hop points by adjusting parameters and predicting trends, even with a one-sided lack of fusion data. The method combines acoustic signal and Inertial Measurement Unit (IMU) data, exploiting their respective advantages. The fusion is achieved using the Kalman filter and Bayesian parameter estimation is performed for tuning IMU parameters and predicting motion trends. The proposed method overcomes the problem of fusion failure caused by long-term unilateral data loss in traditional fusion positioning. The positioning trajectory and error distribution analysis show that the proposed method performs optimally in severe NLoS experiments.

Towards the Sign Function Best Approximation for Secure Outsourced Computations and Control

Mathematics

Homomorphic encryption with the ability to compute over encrypted data without access to the secr... more Homomorphic encryption with the ability to compute over encrypted data without access to the secret key provides benefits for the secure and powerful computation, storage, and communication of resources in the cloud. One of its important applications is fast-growing robot control systems for building lightweight, low-cost, smarter robots with intelligent brains consisting of data centers, knowledge bases, task planners, deep learning, information processing, environment models, communication support, synchronous map construction and positioning, etc. It enables robots to be endowed with secure, powerful capabilities while reducing sizes and costs. Processing encrypted information using homomorphic ciphers uses the sign function polynomial approximation, which is a widely studied research field with many practical results. State-of-the-art works are mainly focused on finding the polynomial of best approximation of the sign function (PBAS) with the improved errors on the union of the ...