Onur Altintas

Eastern Mediterranean University, Computer Engineering, Graduate Student

Followers

Following

Co-authors

Public Views

Experienced Software Specialist with a demonstrated history of working in the finance/insurance/pension industry. Graduated with masters degree from a well known and respected university in Turkey. Skilled in variety of technical skills especially in PL/SQL, Java and C

less

Judith L Green

University of California, Santa Barbara

E. Wayne Ross

University of British Columbia

Don Ross

University College Cork

Javier Díaz Noci

Pompeu Fabra University

Alejandra B Osorio

Wellesley College

Armando Marques-Guedes

UNL - New University of Lisbon

Giulia Sissa

Ucla

Florin Curta

University of Florida

Roshan Chitrakar

Nepal College of Information Technology

Lev Manovich

Graduate Center of the City University of New York

Interests

Uploads

Papers by Onur Altintas

TV white space wireless communications for Vehicle-to-Vehicle links

IEICE Technical Report; IEICE Tech. Rep., Apr 10, 2014

A Study for Improving End-To-End Throughput for Bulk Data Transfers(大容量データ転送におけるエンド・ツ・エンド・スループットの改善に関する研究)

TVホワイトスペースの車車間通信への適用( 高度道路交通システムのための無線通信,無線アクセス技術,一般)

電子情報通信学会技術研究報告. RCS, 無線通信システム, Apr 10, 2014

Improving End-to-End Throughput for File Transfer Using Combined Layers

全国大会講演論文集, Sep 20, 1994

Poster: Location-based distributed channel assignment for communications among autonomous vehicles

In this paper, we proposed a novel channel access method that uses location based channel assignm... more In this paper, we proposed a novel channel access method that uses location based channel assignment for autonomous vehicles. The proposed method is based on multiple tiers of assignment tables with transmit power control. In order to improve slot utilization, we enhance the proposed method with slot re-allocation using Voronoi diagrams. Through computer simulations, the effectiveness of the proposed method is shown.

On TCP Window Sizes over Large Bandwidth-Delay Product Networks

電子情報通信学会ソサイエティ大会講演論文集, Sep 18, 1996

<sc>IEEE Transactions on Intelligent Vehicles</sc> Associate Editors

IEEE Transactions on Intelligent Vehicles, 2016

Poster: Fault-tolerant Consensus for Connected Vehicles: A Case Study

Connected vehicles are already being deployed for increased safety and convenience, more fuel-eff... more Connected vehicles are already being deployed for increased safety and convenience, more fuel-efficient routing and real-time navigation. One major technical challenge is achieving coordination among vehicles in the presence of failures in communication, sensor, object detection, etc. This poster focuses on using distributed fault-tolerant consensus algorithms to achieve coordination among nearby vehicles. Vehicles are in a one-hop network using vehicle-to-vehicle communication. We discuss fundamental limitations and present a practical solution that tolerates both Byzantine fault and lossy communication. Simulation results demonstrate that our algorithm can reach consensus efficiently.

Vehicular Edge Offloading based on Anticipated Value of Computational Tasks

2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), Sep 1, 2021

Vehicular edge computing is enabling a variety of new services that better assist safety and comf... more Vehicular edge computing is enabling a variety of new services that better assist safety and comfort of driving. However, vehicles cannot offload an unlimited amount of computational tasks and input sensor data to a remote edge server because of the limitations in network bandwidth. In this paper, we design a learning-based task of floading mechanism that selects a small subset of input sensor data, which are expected to improve the application performance if processed by a rich and resource-intensive algorithm, hosted by the edge server. As a case study, we apply this framework to a vision-based object tracking application. The simulation results show that the proposed solution significantly improves object tracking accuracy with the same amount of resource consumption.

Improving Data Consistency in Vehicular Micro Clouds

2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), Jan 8, 2022

In the field of vehicular networks, multiple approaches have been proposed to share and reuse dat... more In the field of vehicular networks, multiple approaches have been proposed to share and reuse data acquired by participating hosts. In this context, vehicular micro clouds extend the concept of Mobile Edge Computing (MEC) and bring data storage and processing to the vehicles, solving application tasks that need to be done in real-time. A critical point in shared computing tasks and storage is to keep all nodes synchronized and to maintain consistency. For the first time, we study the relevance of data versions in micro clouds offering intersection management service at four-way stop intersections and we investigate how different versions of data affect both road traffic and wireless communications. Our results validate the intuition that an increase in the amount of different data versions in the micro cloud has negative effects on both road traffic and wireless channel usage. Yet, the choice of the data sharing algorithm can make a huge difference and reduce these effects on a large scale. We found that synchronicity of data versions can be increased by up to 20% through small changes, e.g., keeping small amounts of data history in the applied algorithm.

Signal Phase and Timing by a Vehicular Cloud

Signal Phase and Timing (SPaT) refers to the current signal state of an intersection and the time... more Signal Phase and Timing (SPaT) refers to the current signal state of an intersection and the time duration that the state will last for each lane. Learning SPaT information constitutes a building block for many connected vehicle applications such as light duration advisory and start-stop control. However, retrieving SPaT information is not an easy task. One alternative approach to learn SPaT information could be the analysis of vehicles' mobility patterns. This paper investigates the design and feasibility of such an approach and proposes a system namely Virtual SPaT (V-SPaT). In V-SPaT, a group of connected vehicles form a Vehicular Cloud (VC) and collaborate to act as a virtual infrastructure at an intersection. Cloud members not only analyze their mobility patterns to predict the current phase and a residual time of that phase but also keep the SPaT information through collaborative data storage so that vehicles approaching the intersection can obtain this information over Vehicle-to-Vehicle (V2V) networks. The simulation results show that V-SPaT can identify the current phase and estimate the residual time by about 85% accuracy under a certain degree of V2V communications penetration rates.

Editorial Preface: Special Issue on Mobile & Cloud Computing Services

IEEE Transactions on Services Computing, Sep 1, 2018

Download

Cooperative Downloading in Vehicular Heterogeneous Networks at the Edge

Connected and automated driving vehicles are expected to generate an increasing amount of data tr... more Connected and automated driving vehicles are expected to generate an increasing amount of data traffic, possibly overloading vehicle-to- network (V2N) communication infrastructure in the long run. In this paper, we investigate the potential of local collaboration among vehicles to mitigate the load on V2N (e.g., cellular) communication networks. Vehicles in the vicinity use vehicle-to-vehicle (V2V) communications to form a group, called vehicular micro cloud, and each of them downloads a subset of data segments that comprise an original data content. The downloaded data segments are cached and shared with other group members by way of V2V networks. This enables the group of vehicles to collectively serve as a virtual content delivery server, which complements cloud / edge computing infrastructure. In order to maximize the benefit of cooperation, we design a light-weight local coordination mechanism for vehicles to agree on non-overlapping subsets of data segments that they request from a remote server. Our simulation results show that coordination among vehicles improves the efficiency of cooperative download, reducing the data traffic on cellular networks.

Optimized Assignment of Computational Tasks in Vehicular Micro Clouds

The ever-increasing advancements of vehicles have not only made them mobile devices with Internet... more The ever-increasing advancements of vehicles have not only made them mobile devices with Internet connectivity, but also have pushed vehicles to become powerful computing resources. To this end, a cluster of vehicles can form a vehicular micro cloud, creating a virtual edge server and providing the computational resources needed for edge-based services. In this paper, we study the assignment of computational tasks among micro cloud vehicles of different computing resources. In particular, we formulate a bottleneck assignment problem, where the objective is to minimize the completion time of tasks assigned to available vehicles in the micro cloud. A two-stage algorithm, with polynomial-time complexity, is proposed to solve the problem. We use Monte Carlo simulations to validate the effectiveness of the proposed algorithm in two micro cloud scenarios: a parking structure and an intersection in Manhattan grid. It is shown that the algorithm significantly outperforms random assignment in completion time. For example, compared to the proposed algorithm, the completion time is 3.6x longer with random assignment when the number of cars is large, and it is 2.1x longer when the tasks have more varying requirements.

Download

How to Keep a Vehicular Micro Cloud Intact

The emerging concept of vehicle cloudification is a promising solution to deal with ever-growing ... more The emerging concept of vehicle cloudification is a promising solution to deal with ever-growing computational and communication demands of connected vehicles. A key idea is to have connected vehicles in the vicinity form a cluster, called vehicular micro cloud, and collaborate with other cluster members over vehicle-to-vehicle (V2V) networks to offer data processing, data storage, sensing and communication services. It allows us to use vehicles as virtual edge servers that complement traditional cloud and physical edge servers in the backbone network. In this paper, we design a mechanism to intelligently schedule where and when to form such vehicular micro clouds. A remote server maintains statistics of the amount of available onboard computational resources spatio-temporally, and analyzes these statistics to identify the locations where vehicles can consistently offer a sufficient amount of resources for service provisioning. The results from our proof-of-concept simulations show that our system can significantly reduce the risk of resource scarcity in vehicular micro clouds.

Download

Continuous Media Protocol Issues

電子情報通信学会総合大会講演論文集, Mar 11, 1996

Demo: Vehicular Micro Cloud Assisted Collaborative High-Definition Map Downloading

End-to-End Latency of V2N2V Communications under Different 5G and Computing Deployments in Multi-MNO Scenarios

2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Sep 12, 2022

Proceedings of the First International Workshop on Internet of Vehicles and Vehicles of Internet

ポスター:仮想車両ネットワークインフラストラクチャとしての駐車車両のクラスタを用いた【Powered by NICT】

IEEE Conference Proceedings, 2016

TV white space wireless communications for Vehicle-to-Vehicle links

IEICE Technical Report; IEICE Tech. Rep., Apr 10, 2014

A Study for Improving End-To-End Throughput for Bulk Data Transfers(大容量データ転送におけるエンド・ツ・エンド・スループットの改善に関する研究)

TVホワイトスペースの車車間通信への適用( 高度道路交通システムのための無線通信,無線アクセス技術,一般)

電子情報通信学会技術研究報告. RCS, 無線通信システム, Apr 10, 2014

Improving End-to-End Throughput for File Transfer Using Combined Layers

全国大会講演論文集, Sep 20, 1994

Poster: Location-based distributed channel assignment for communications among autonomous vehicles

On TCP Window Sizes over Large Bandwidth-Delay Product Networks

電子情報通信学会ソサイエティ大会講演論文集, Sep 18, 1996

<sc>IEEE Transactions on Intelligent Vehicles</sc> Associate Editors

IEEE Transactions on Intelligent Vehicles, 2016

Poster: Fault-tolerant Consensus for Connected Vehicles: A Case Study

Vehicular Edge Offloading based on Anticipated Value of Computational Tasks

2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), Sep 1, 2021

Improving Data Consistency in Vehicular Micro Clouds

2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), Jan 8, 2022

Signal Phase and Timing by a Vehicular Cloud

Editorial Preface: Special Issue on Mobile & Cloud Computing Services

IEEE Transactions on Services Computing, Sep 1, 2018

Download

Cooperative Downloading in Vehicular Heterogeneous Networks at the Edge

Optimized Assignment of Computational Tasks in Vehicular Micro Clouds

Download

How to Keep a Vehicular Micro Cloud Intact

Download

Continuous Media Protocol Issues

電子情報通信学会総合大会講演論文集, Mar 11, 1996

Demo: Vehicular Micro Cloud Assisted Collaborative High-Definition Map Downloading

End-to-End Latency of V2N2V Communications under Different 5G and Computing Deployments in Multi-MNO Scenarios

2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Sep 12, 2022

Proceedings of the First International Workshop on Internet of Vehicles and Vehicles of Internet

ポスター:仮想車両ネットワークインフラストラクチャとしての駐車車両のクラスタを用いた【Powered by NICT】

IEEE Conference Proceedings, 2016

Onur Altintas

Related Authors

Uploads

Papers by Onur Altintas

Log In