Moad Mowafi

Jordan University of Science and Technology, Network Engineering & Security, Faculty Member

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Judith L Green

University of California, Santa Barbara

Andreas Treske

Bilkent University

B. Harun Küçük

University of Pennsylvania

Thomas Britz

The University of New South Wales

Manuel David Masseno

Instituto Politécnico de Beja

Manuel Menezes de Sequeira

Universidade Europeia

Dr. Nafiz Imtiaz Bin Hamid

Islamic University of Technology

David Seamon

Kansas State University

Armando Marques-Guedes

UNL - New University of Lisbon

Dr.Shadi Masadeh

Applied Science University

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Papers by Moad Mowafi

Opportunistic Network Coding for Real-Time Transmission over WirelessNetworks

by Mohammed Al-batati, Fahed Awad, and Moad Mowafi

Spatial correlation model for heterogeneous cameras in wireless multimediasensor networks

by Fahed Awad and Moad Mowafi

ABSTRACT Collaborative in-network processing has shown to efficiently reduce the per-node process... more ABSTRACT Collaborative in-network processing has shown to efficiently reduce the per-node processing and transmission requirements in wireless multimedia sensor networks. When the camera nodes are randomly distributed in an area of interest, it is very likely that their fields of view would overlap causing the corresponding visual information to be highly correlated. In applied wireless multimedia sensor networks, heterogeneous camera nodes with different sensing radii and angles of view are usually deployed, which has shown to enhance the overall network performance and lifetime. This paper introduces a new correlation model to exploit the correlation characteristics among heterogeneous camera nodes for wireless multimedia sensor networks. The proposed model, of which a closed-form analytical correlation function was derived, takes into consideration different sensing parameters of the camera nodes; such as the sensing radii and the angles of view. The simulation results demonstrated that the proposed model outperforms the state-of-the-art in terms of the accuracy of estimating the correlation characteristics, the information gain, and the distortion ratio.

Fuzzy logic based energy efficient adaptive clustering protocol

by Fahed Awad and Moad Mowafi

In order to overcome the problem of the limited power of the sensor battery and thus prolonging t... more In order to overcome the problem of the limited power of the sensor battery and thus prolonging the lifetime of a Wireless Sensor Network (WSN), many routing algorithms were proposed to gather and forward the sensed data to the base station. One of the most well-known routing algorithms that were proposed in the last years is the LEACH protocol. It

A Practical Study of Jointly Exploiting Multiple Image CompressionTechniques for Wireless Multimedia Sensor Networks

by Fahed Awad and Moad Mowafi

In Wireless Multimedia Sensor Networks, the amount of multimedia traffic generated by the source ... more In Wireless Multimedia Sensor Networks, the amount of multimedia traffic generated by the source nodes and relayed throughout the network towards the sink nodes is relatively vary large. As a result, the overall network performance and operational lifetime rely heavily on the efficiency and the complexity of the compression techniques used. However, known compression techniques have either high efficiency or low complexity but not both, which causes an imbalance in the distribution of the available network resources and hence shortens the network lifetime. In this work, a testbed to experimentally evaluate the performance and energy consumption of image compression and transmission was developed. Based on the testbed, the JPEG and JPEG2000 image compression algorithms were simultaneously embedded and evaluated with the purpose of jointly utilizing the features of both algorithms in order to facilitate a balanced tradeoff between the application performance requirements and the current network status. The analysis of the results verified that, in practical implementations of Wireless Multimedia Sensor Networks, using more than one compression technique by the same source node is feasible and has the potential of utilizing the capabilities of each technique based on the given situation.

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Experimental evaluation of image compression and transmission for TinyOS-based imote2 platform

by Moad Mowafi and Eyad Taqieddin

In this paper, the performance of JPEG image compression and transmission using TinyOS-based Imot... more In this paper, the performance of JPEG image compression and transmission using TinyOS-based Imote2 wireless sensor network platform is experimentally evaluated via a newly developed testbed. This testbed supports multihop sensor networks based on the Imote2 platform equipped with the Imote2 Multimedia Sensor Board. In addition, a standard JPEG library is embedded into the Imote2 platform to provide in-node image

An Energy-Balanced Cluster-Based Protocol for Wireless Sensor Networks

by Moad Mowafi, Eyad Taqieddin, and Fahed Awad

This paper proposes a novel energy-efficient clustering protocol for wireless sensor networks. It... more This paper proposes a novel energy-efficient clustering protocol for wireless sensor networks. It combines the benefits of using the k-means clustering algorithm with the, recently developed, LEACH with virtual forces (LEACH-VF) protocol. In this work, the k-means algorithm is employed to determine k centroids around which the clusters will be formed. After that, the virtual field force method is applied to these clusters to determine the most suitable positions for each node. The main target of such an approach is to improve the energy balance in the network and to extend the network lifetime. Simulation results show that the proposed protocol extends the time before the first node death, minimizes the variance of the average node energy, and reduces the distance that the sensor nodes travel within their respective clusters.

A Practical Study of Jointly Exploiting Multiple Image CompressionTechniques for Wireless Multimedia Sensor Networks

by Moad Mowafi and Eyad Taqieddin

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Fuzzy logic based energy efficient adaptive clustering protocol

by Moad Mowafi and Eyad Taqieddin

Experimental evaluation of image compression and transmission for TinyOS-based imote2 platform

by Eyad Taqieddin, Fahed Awad, Omar Banimelhem, and Moad Mowafi

Virtual patient simulator for distributed collaborative medical education

by Dale Alverson and Moad Mowafi

The Anatomical Record, 2003

Project TOUCH (Telehealth Outreach for Unified Community Health; http://hsc.unm.edu/touch) invest... more Project TOUCH (Telehealth Outreach for Unified Community Health; http://hsc.unm.edu/touch) investigates the feasibility of using advanced technologies to enhance education in an innovative problem-based learning format currently being used in medical school curricula, applying specific clinical case models, and deploying to remote sites/workstations. The University of New Mexico's School of Medicine and the John A. Burns School of Medicine at the University of Hawai'i face similar health care challenges in providing and delivering services and training to remote and rural areas. Recognizing that health care needs are local and require local solutions, both states are committed to improving health care delivery to their unique populations by sharing information and experiences through emerging telehealth technologies by using high-performance computing and communications resources. The purpose of this study is to describe the deployment of a problem-based learning case distributed over the National Computational Science Alliance's Access Grid. Emphasis is placed on the underlying technical components of the TOUCH project, including the virtual reality development tool Flatland, the artificial intelligence-based simulation engine, the Access Grid, high-performance computing platforms, and the software that connects them all. In addition, educational and technical challenges for Project TOUCH are identified. Anat Rec (Part B: New Anat) 270B: 23-29, 2003.

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Distributed interactive virtual environments for collaborative medical education and training: Design and characterization

by Dale Alverson, Moad Mowafi, and Joshua Jacobs, MD, FAAFP

Medical knowledge and skills essential for tomorrow&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;a... more Medical knowledge and skills essential for tomorrow&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s healthcare professionals continue to change faster than ever before creating new demands in medical education. Project TOUCH (Telehealth Outreach for Unified Community Health) has been developing methods to enhance learning by coupling innovations in medical education with advanced technology in high performance computing and next generation Internet2 embedded in virtual reality environments (VRE), artificial intelligence and experiential active learning. Simulations have been used in education and training to allow learners to make mistakes safely in lieu of real-life situations, learn from those mistakes and ultimately improve performance by subsequent avoidance of those mistakes. Distributed virtual interactive environments are used over distance to enable learning and participation in dynamic, problem-based, clinical, artificial intelligence rules-based, virtual simulations. The virtual reality patient is programmed to dynamically change over time and respond to the manipulations by the learner. Participants are fully immersed within the VRE platform using a head-mounted display and tracker system. Navigation, locomotion and handling of objects are accomplished using a joy-wand. Distribution is managed via the Internet2 Access Grid using point-to-point or multi-casting connectivity through which the participants can interact. Medical students in Hawaii and New Mexico (NM) participated collaboratively in problem solving and managing of a simulated patient with a closed head injury in VRE; dividing tasks, handing off objects, and functioning as a team. Students stated that opportunities to make mistakes and repeat actions in the VRE were extremely helpful in learning specific principles. VRE created higher performance expectations and some anxiety among VRE users. VRE orientation was adequate but students needed time to adapt and practice in order to improve efficiency. This was also demonstrated successfully between Western Australia and UNM. We successfully demonstrated the ability to fully immerse participants in a distributed virtual environment independent of distance for collaborative team interaction in medical simulation designed for education and training. The ability to make mistakes in a safe environment is well received by students and has a positive impact on their understanding, as well as memory of the principles involved in correcting those mistakes. Bringing people together as virtual teams for interactive experiential learning and collaborative training, independent of distance, provides a platform for distributed &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot;just-in-time&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;quot; training, performance assessment and credentialing. Further validation is necessary to determine the potential value of the distributed VRE in knowledge transfer, improved future performance and should entail training participants to competence in using these tools.

A More Secure Image Hiding Scheme Using Pixel Adjustment and Genetic Algorithm

by Moad Mowafi, Omar Banimelhem, and Mohammed Al-batati

International Journal of Information Security and Privacy, 2000

Experimental evaluation of image compression and transmission for TinyOS-based Imote2 platform

by Moad Mowafi, Omar Banimelhem, and Eyad Taqieddin

Fuzzy logic based energy efficient adaptive clustering protocol

by Moad Mowafi, Omar Banimelhem, and Eyad Taqieddin

Proceedings of the 3rd International Conference on Information and Communication Systems - ICICS '12, 2012

An Energy-Balanced Cluster-Based Protocol for Wireless Sensor Networks

by Moad Mowafi, Omar Banimelhem, and Eyad Taqieddin

International Journal of Information Technology and Web Engineering, 2000

A simulation testbed to jointly exploit multiple image compression techniques for wireless multimedia sensor networks

by Moad Mowafi, Omar Banimelhem, and Eyad Taqieddin

As the demand for large-scale wireless multimedia sensor networks increases, so does the need for... more As the demand for large-scale wireless multimedia sensor networks increases, so does the need for well-designed protocols that optimize the utilization of available networks resources. This requires experimental testing for realistic performance evaluation and design tuning. However, experimental testing of large-scale wireless networks using hardware testbeds is usually very hard to perform due to the need for collecting and monitoring the performance metrics data for multiple sensor nodes all at the same time, especially the node's energy consumption data. On the other hand, pure simulation testing may not accurately replicate the real-life scenarios, especially those parameters that are related to the wireless signal behavior in special environments. Therefore, this work attempts to close this gap between experimental and simulation testing. This paper presents a scalable simulation testbed that attempts to mimic our previously designed small-scale hardware testbed for wireless multimedia sensor networks by tuning the simulation parameters to match the real-life measurements obtained via experimental testing. The proposed simulation testbed embeds the JPEG and JPEG2000 image compression algorithms and potentially allows for network-controlled image compression and transmission decisions. The simulation results show very close match to the small-scale experimental testing as well as to the hypothetical large-scale extensions that were based on the experimental results.

An efficient clustering approach using genetic algorithm and node mobility in wireless sensor networks

by Moad Mowafi, Omar Banimelhem, Fahed Awad, and Eyad Taqieddin

Node clustering in wireless sensor networks helps in extending the network life time by reducing ... more Node clustering in wireless sensor networks helps in extending the network life time by reducing the nodes' communication energy and balancing their remaining energy. This paper presents a new genetic-based approach that improves the performance of the LEACH clustering protocol used in wireless sensor networks. The proposed approach utilizes the mobility feature of sensor nodes in order to reduce the communication distances between the cluster heads and the base station. In each round, new locations of the cluster heads are determined using a genetic algorithm. The simulation results demonstrate that the proposed approach outperforms LEACH in terms of network lifetime and average remaining energy.

A Practical Study of Jointly Exploiting Multiple Image Compression Techniques for Wireless Multimedia Sensor Networks

by Moad Mowafi, Omar Banimelhem, and Eyad Taqieddin

Journal of Communications, 2012

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A More Secure Image Hiding Scheme Using Pixel Adjustment and Genetic Algorithm

by Moad Mowafi, Omar Banimelhem, and Mohammed Al-batati

This paper proposes a more secure image hiding scheme using Optimal Pixel Adjustment Process (OPA... more This paper proposes a more secure image hiding scheme using Optimal Pixel Adjustment Process (OPAP) and Genetic Algorithm (GA). The security issues of key selection that is used in image hiding are addressed. Thus, a more secure scheme is proposed in order to improve the security as well as the quality of the stego-image. Since GA is a semi-blind algorithm, it may select a key that affects the security. Therefore, the authores improve the security by applying image transformation not only using the GA key, but also using a user key. The user key is used to disarrange the pixel locations of the secret image. Then, the GA, using OPAP, selects the key that maximizes the quality as well as the security of the stego-image. From implementation point of view, the scheme uses a simple and fast transformation method that increases the difference between the secret image and its transformed version. The results showed that the resultant disarranged image cannot be detected, and at the same time the stego-image quality is still high.

Fuzzy Logic-Based Cluster Heads Percentage Calculation for Improving the Performance of the LEACH Protocol

by Moad Mowafi and Omar Banimelhem

International Journal of Fuzzy System Applications, 2015

Opportunistic Network Coding for Real-Time Transmission over WirelessNetworks

by Mohammed Al-batati, Fahed Awad, and Moad Mowafi

Spatial correlation model for heterogeneous cameras in wireless multimediasensor networks

by Fahed Awad and Moad Mowafi

Fuzzy logic based energy efficient adaptive clustering protocol

by Fahed Awad and Moad Mowafi

A Practical Study of Jointly Exploiting Multiple Image CompressionTechniques for Wireless Multimedia Sensor Networks

by Fahed Awad and Moad Mowafi

Download

Experimental evaluation of image compression and transmission for TinyOS-based imote2 platform

by Moad Mowafi and Eyad Taqieddin

An Energy-Balanced Cluster-Based Protocol for Wireless Sensor Networks

by Moad Mowafi, Eyad Taqieddin, and Fahed Awad

A Practical Study of Jointly Exploiting Multiple Image CompressionTechniques for Wireless Multimedia Sensor Networks

by Moad Mowafi and Eyad Taqieddin

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Fuzzy logic based energy efficient adaptive clustering protocol

by Moad Mowafi and Eyad Taqieddin

Experimental evaluation of image compression and transmission for TinyOS-based imote2 platform

by Eyad Taqieddin, Fahed Awad, Omar Banimelhem, and Moad Mowafi

Virtual patient simulator for distributed collaborative medical education

by Dale Alverson and Moad Mowafi

The Anatomical Record, 2003

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Distributed interactive virtual environments for collaborative medical education and training: Design and characterization

by Dale Alverson, Moad Mowafi, and Joshua Jacobs, MD, FAAFP

A More Secure Image Hiding Scheme Using Pixel Adjustment and Genetic Algorithm

by Moad Mowafi, Omar Banimelhem, and Mohammed Al-batati

International Journal of Information Security and Privacy, 2000

Experimental evaluation of image compression and transmission for TinyOS-based Imote2 platform

by Moad Mowafi, Omar Banimelhem, and Eyad Taqieddin

Fuzzy logic based energy efficient adaptive clustering protocol

by Moad Mowafi, Omar Banimelhem, and Eyad Taqieddin

Proceedings of the 3rd International Conference on Information and Communication Systems - ICICS '12, 2012

An Energy-Balanced Cluster-Based Protocol for Wireless Sensor Networks

by Moad Mowafi, Omar Banimelhem, and Eyad Taqieddin

International Journal of Information Technology and Web Engineering, 2000

A simulation testbed to jointly exploit multiple image compression techniques for wireless multimedia sensor networks

by Moad Mowafi, Omar Banimelhem, and Eyad Taqieddin

An efficient clustering approach using genetic algorithm and node mobility in wireless sensor networks

by Moad Mowafi, Omar Banimelhem, Fahed Awad, and Eyad Taqieddin

A Practical Study of Jointly Exploiting Multiple Image Compression Techniques for Wireless Multimedia Sensor Networks

by Moad Mowafi, Omar Banimelhem, and Eyad Taqieddin

Journal of Communications, 2012

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A More Secure Image Hiding Scheme Using Pixel Adjustment and Genetic Algorithm

by Moad Mowafi, Omar Banimelhem, and Mohammed Al-batati

Fuzzy Logic-Based Cluster Heads Percentage Calculation for Improving the Performance of the LEACH Protocol

by Moad Mowafi and Omar Banimelhem

International Journal of Fuzzy System Applications, 2015

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