TY - GEN
T1 - Reliable vehicle selection algorithm with dynamic mobility of vehicle in vehicular cloud system
AU - Choo, Sukjin
AU - Jang, Insun
AU - Koo, Jungwoo
AU - Kim, Joonwoo
AU - Pack, Sangheon
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/1
Y1 - 2017/11/1
N2 - 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.
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.
KW - Vehicular cloud (VC)
KW - mixed integer nonlinear programming (MINLP)
KW - vehicles selection
UR - http://www.scopus.com/inward/record.url?scp=85040601528&partnerID=8YFLogxK
U2 - 10.1109/APNOMS.2017.8094155
DO - 10.1109/APNOMS.2017.8094155
M3 - Conference contribution
AN - SCOPUS:85040601528
T3 - 19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017
SP - 319
EP - 321
BT - 19th Asia-Pacific Network Operations and Management Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th Asia-Pacific Network Operations and Management Symposium, APNOMS 2017
Y2 - 27 September 2017 through 29 September 2017
ER -