Reliable vehicle selection algorithm with dynamic mobility of vehicle in vehicular cloud system

Sukjin Choo; Insun Jang; Jungwoo Koo; Joonwoo Kim; Sangheon Pack

doi:10.1109/APNOMS.2017.8094155

Reliable vehicle selection algorithm with dynamic mobility of vehicle in vehicular cloud system

Sukjin Choo, Insun Jang, Jungwoo Koo, Joonwoo Kim, Sangheon Pack

School of Electrical Engineering

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

3 Citations (Scopus)

Abstract

Vehicular cloud (VC) is an emerging technology where multiple vehicles form a cloud to share their abundant resources and carry out a heavy job in a cooperative manner. By using VC, each vehicle can perform various VC applications requiring heavy resources. In this regards, it is not a trivial issue to choose appropriate vehicles to complete the given task according to vehicular mobility and each VC service type. In this paper, we suggest a reliable vehicle selection algorithm (RVSA) to minimize the cost of completing the requested task for solving mixed integer nonlinear programming (MINLP) vehicle selection problem. Evaluation result demonstrates that RVSA can achieve to reduce significantly the task completion cost over a wide range of vehicular mobility compared with other conventional algorithms.

Original language	English
Title of host publication	19th Asia-Pacific Network Operations and Management Symposium
Subtitle of host publication	Managing a World of Things, APNOMS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	319-321
Number of pages	3
ISBN (Electronic)	9781538611012
DOIs	https://doi.org/10.1109/APNOMS.2017.8094155
Publication status	Published - 2017 Nov 1
Event	19th Asia-Pacific Network Operations and Management Symposium, APNOMS 2017 - Seoul, Korea, Republic of Duration: 2017 Sep 27 → 2017 Sep 29

Other

Other	19th Asia-Pacific Network Operations and Management Symposium, APNOMS 2017
Country	Korea, Republic of
City	Seoul
Period	17/9/27 → 17/9/29

Keywords

mixed integer nonlinear programming (MINLP)
vehicles selection
Vehicular cloud (VC)

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Information Systems and Management

Access to Document

10.1109/APNOMS.2017.8094155

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Choo, S., Jang, I., Koo, J., Kim, J., & Pack, S. (2017). Reliable vehicle selection algorithm with dynamic mobility of vehicle in vehicular cloud system. In 19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017 (pp. 319-321). [8094155] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APNOMS.2017.8094155

Reliable vehicle selection algorithm with dynamic mobility of vehicle in vehicular cloud system. / Choo, Sukjin; Jang, Insun; Koo, Jungwoo; Kim, Joonwoo; Pack, Sangheon.

19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 319-321 8094155.

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

Choo, S, Jang, I, Koo, J, Kim, J & Pack, S 2017, Reliable vehicle selection algorithm with dynamic mobility of vehicle in vehicular cloud system. in 19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017., 8094155, Institute of Electrical and Electronics Engineers Inc., pp. 319-321, 19th Asia-Pacific Network Operations and Management Symposium, APNOMS 2017, Seoul, Korea, Republic of, 17/9/27. https://doi.org/10.1109/APNOMS.2017.8094155

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abstract = "Vehicular cloud (VC) is an emerging technology where multiple vehicles form a cloud to share their abundant resources and carry out a heavy job in a cooperative manner. By using VC, each vehicle can perform various VC applications requiring heavy resources. In this regards, it is not a trivial issue to choose appropriate vehicles to complete the given task according to vehicular mobility and each VC service type. In this paper, we suggest a reliable vehicle selection algorithm (RVSA) to minimize the cost of completing the requested task for solving mixed integer nonlinear programming (MINLP) vehicle selection problem. Evaluation result demonstrates that RVSA can achieve to reduce significantly the task completion cost over a wide range of vehicular mobility compared with other conventional algorithms.",

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AB - Vehicular cloud (VC) is an emerging technology where multiple vehicles form a cloud to share their abundant resources and carry out a heavy job in a cooperative manner. By using VC, each vehicle can perform various VC applications requiring heavy resources. In this regards, it is not a trivial issue to choose appropriate vehicles to complete the given task according to vehicular mobility and each VC service type. In this paper, we suggest a reliable vehicle selection algorithm (RVSA) to minimize the cost of completing the requested task for solving mixed integer nonlinear programming (MINLP) vehicle selection problem. Evaluation result demonstrates that RVSA can achieve to reduce significantly the task completion cost over a wide range of vehicular mobility compared with other conventional algorithms.

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Reliable vehicle selection algorithm with dynamic mobility of vehicle in vehicular cloud system

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Keywords

ASJC Scopus subject areas

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