DocumentCode :
172353
Title :
RSU placement optimization in vehicular participatory sensing networks
Author :
Kumrai, Teerawat ; Ota, Kaoru ; Mianxiong Dong ; Champrasert, Paskorn
Author_Institution :
Muroran Inst. of Technol., Muroran, Japan
fYear :
2014
fDate :
April 27 2014-May 2 2014
Firstpage :
207
Lastpage :
208
Abstract :
This paper proposes a multi-objective optimization evolutionary algorithm for placement of roadside units (RSUs) in participatory sensing using vehicular networks. The proposed algorithm heuristically optimizes RSUs´ communication coverage area in a city with the minimal number of RSUs. The extensive simulation results show the efficacy of the proposed algorithm comparing to a traditional placement algorithm.
Keywords :
evolutionary computation; optimisation; road vehicles; sensor placement; vehicular ad hoc networks; RSU placement optimization; multiobjective optimization evolutionary algorithm; roadside unit placement optimization; vehicular participatory sensing network; Cities and towns; Evolutionary computation; Optimization; Sensors; Sociology; Statistics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communications Workshops (INFOCOM WKSHPS), 2014 IEEE Conference on
Conference_Location :
Toronto, ON
Type :
conf
DOI :
10.1109/INFCOMW.2014.6849228
Filename :
6849228
Link To Document :
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