Towards Real-Time and Temporal Information Services in Vehicular Networks via Multi-Objective Optimization

Penglin Dai; Kai Liu; Liang Feng; Qingfeng Zhuge; Victor Chung Sing Lee; Sang Hyuk Son

doi:10.1109/LCN.2016.117

Towards Real-Time and Temporal Information Services in Vehicular Networks via Multi-Objective Optimization

Penglin Dai, Kai Liu, Liang Feng, Qingfeng Zhuge, Victor Chung Sing Lee, Sang Hyuk Son

Department of Electrical Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Real-time and temporal information services are intrinsic characteristics in vehicular networks, where the timeliness of data dissemination and the maintenance of data quality interplay with each other and influence overall system performance. In this work, we present the system architecture where multiple road side units (RSUs) are cooperated to provide information services, and the vehicles can upload up-to-date information to RSUs via vehicle-to-infrastructure (V2I) communication. On this basis, we formulate the distributed temporal data management (DTDM) problem as a two-objective problem, which aims to enhance overall system performance on both the service quality and the service ratio simultaneously. Further, we propose a multiobjective evolutionary algorithm called MO-DTDM to obtain a set of pareto solutions and analyze how to fulfill given requirements on system performance with obtained pareto solutions. Finally, we build the simulation model and give a comprehensive performance evaluation, which demonstrates the superiority of the proposed optimization method.

Original language	English
Title of host publication	Proceedings - 2016 IEEE 41st Conference on Local Computer Networks, LCN 2016
Publisher	IEEE Computer Society
Pages	671-679
Number of pages	9
ISBN (Electronic)	9781509020546
DOIs	https://doi.org/10.1109/LCN.2016.117
State	Published - 22 Dec 2016
Event	41st IEEE Conference on Local Computer Networks, LCN 2016 - Dubai, United Arab Emirates Duration: 7 Nov 2016 → 10 Nov 2016

Publication series

Name	Proceedings - Conference on Local Computer Networks, LCN

Conference

Conference	41st IEEE Conference on Local Computer Networks, LCN 2016
Country/Territory	United Arab Emirates
City	Dubai
Period	7/11/16 → 10/11/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

multi-objective optimization
real-time data dissemination
temporal information service
vehicular networks

Access to Document

10.1109/LCN.2016.117

Cite this

Dai, P., Liu, K., Feng, L., Zhuge, Q., Lee, V. C. S., & Son, S. H. (2016). Towards Real-Time and Temporal Information Services in Vehicular Networks via Multi-Objective Optimization. In Proceedings - 2016 IEEE 41st Conference on Local Computer Networks, LCN 2016 (pp. 671-679). Article 7796866 (Proceedings - Conference on Local Computer Networks, LCN). IEEE Computer Society. https://doi.org/10.1109/LCN.2016.117

@inproceedings{1228855b89ef431f8000eab84d08e252,

title = "Towards Real-Time and Temporal Information Services in Vehicular Networks via Multi-Objective Optimization",

abstract = "Real-time and temporal information services are intrinsic characteristics in vehicular networks, where the timeliness of data dissemination and the maintenance of data quality interplay with each other and influence overall system performance. In this work, we present the system architecture where multiple road side units (RSUs) are cooperated to provide information services, and the vehicles can upload up-to-date information to RSUs via vehicle-to-infrastructure (V2I) communication. On this basis, we formulate the distributed temporal data management (DTDM) problem as a two-objective problem, which aims to enhance overall system performance on both the service quality and the service ratio simultaneously. Further, we propose a multiobjective evolutionary algorithm called MO-DTDM to obtain a set of pareto solutions and analyze how to fulfill given requirements on system performance with obtained pareto solutions. Finally, we build the simulation model and give a comprehensive performance evaluation, which demonstrates the superiority of the proposed optimization method.",

keywords = "multi-objective optimization, real-time data dissemination, temporal information service, vehicular networks",

author = "Penglin Dai and Kai Liu and Liang Feng and Qingfeng Zhuge and Lee, \{Victor Chung Sing\} and Son, \{Sang Hyuk\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 41st IEEE Conference on Local Computer Networks, LCN 2016 ; Conference date: 07-11-2016 Through 10-11-2016",

year = "2016",

month = dec,

day = "22",

doi = "10.1109/LCN.2016.117",

language = "English",

series = "Proceedings - Conference on Local Computer Networks, LCN",

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Dai, P, Liu, K, Feng, L, Zhuge, Q, Lee, VCS & Son, SH 2016, Towards Real-Time and Temporal Information Services in Vehicular Networks via Multi-Objective Optimization. in Proceedings - 2016 IEEE 41st Conference on Local Computer Networks, LCN 2016., 7796866, Proceedings - Conference on Local Computer Networks, LCN, IEEE Computer Society, pp. 671-679, 41st IEEE Conference on Local Computer Networks, LCN 2016, Dubai, United Arab Emirates, 7/11/16. https://doi.org/10.1109/LCN.2016.117

Towards Real-Time and Temporal Information Services in Vehicular Networks via Multi-Objective Optimization. / Dai, Penglin; Liu, Kai; Feng, Liang et al.
Proceedings - 2016 IEEE 41st Conference on Local Computer Networks, LCN 2016. IEEE Computer Society, 2016. p. 671-679 7796866 (Proceedings - Conference on Local Computer Networks, LCN).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Towards Real-Time and Temporal Information Services in Vehicular Networks via Multi-Objective Optimization

AU - Dai, Penglin

AU - Liu, Kai

AU - Feng, Liang

AU - Zhuge, Qingfeng

AU - Lee, Victor Chung Sing

AU - Son, Sang Hyuk

PY - 2016/12/22

Y1 - 2016/12/22

N2 - Real-time and temporal information services are intrinsic characteristics in vehicular networks, where the timeliness of data dissemination and the maintenance of data quality interplay with each other and influence overall system performance. In this work, we present the system architecture where multiple road side units (RSUs) are cooperated to provide information services, and the vehicles can upload up-to-date information to RSUs via vehicle-to-infrastructure (V2I) communication. On this basis, we formulate the distributed temporal data management (DTDM) problem as a two-objective problem, which aims to enhance overall system performance on both the service quality and the service ratio simultaneously. Further, we propose a multiobjective evolutionary algorithm called MO-DTDM to obtain a set of pareto solutions and analyze how to fulfill given requirements on system performance with obtained pareto solutions. Finally, we build the simulation model and give a comprehensive performance evaluation, which demonstrates the superiority of the proposed optimization method.

AB - Real-time and temporal information services are intrinsic characteristics in vehicular networks, where the timeliness of data dissemination and the maintenance of data quality interplay with each other and influence overall system performance. In this work, we present the system architecture where multiple road side units (RSUs) are cooperated to provide information services, and the vehicles can upload up-to-date information to RSUs via vehicle-to-infrastructure (V2I) communication. On this basis, we formulate the distributed temporal data management (DTDM) problem as a two-objective problem, which aims to enhance overall system performance on both the service quality and the service ratio simultaneously. Further, we propose a multiobjective evolutionary algorithm called MO-DTDM to obtain a set of pareto solutions and analyze how to fulfill given requirements on system performance with obtained pareto solutions. Finally, we build the simulation model and give a comprehensive performance evaluation, which demonstrates the superiority of the proposed optimization method.

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KW - real-time data dissemination

KW - temporal information service

KW - vehicular networks

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Dai P, Liu K, Feng L, Zhuge Q, Lee VCS, Son SH. Towards Real-Time and Temporal Information Services in Vehicular Networks via Multi-Objective Optimization. In Proceedings - 2016 IEEE 41st Conference on Local Computer Networks, LCN 2016. IEEE Computer Society. 2016. p. 671-679. 7796866. (Proceedings - Conference on Local Computer Networks, LCN). doi: 10.1109/LCN.2016.117

Towards Real-Time and Temporal Information Services in Vehicular Networks via Multi-Objective Optimization

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