DocumentCode :
1788386
Title :
Information dissemination in vehicular networks via evolutionary game theory
Author :
Jun Zhang ; Gauthier, Vincent ; Labiod, Houda ; Banerjee, Adrish ; Afifi, Hossam
Author_Institution :
Telecom Paristech, Paris, France
fYear :
2014
fDate :
10-14 June 2014
Firstpage :
124
Lastpage :
129
Abstract :
We study the problem of information dissemination in vehicular networks in this paper. Crucial information, such as traffic jamming status, is usually broadcasted inside the network. Each vehicle in the network has its own choice to either forward or drop packets for others. Although the energy consumption in general is not an issue in vehicular networks, forwarding every received packets is still not preferred as it may result in congestion in transmission. We model this problem via evolutionary game theory to investigate the cooperative behavior among vehicles. Simulation results show that, the cooperation ratio in the network is proportional to the setting of synergy factor for the evolutionary game. When nodes change their strategies according to the evolutionary game, information can be disseminated as fast as flooding scheme, while more bandwidth can be reserved.
Keywords :
cooperative communication; energy consumption; evolutionary computation; game theory; information dissemination; vehicular ad hoc networks; cooperative behavior; energy consumption; evolutionary game theory; information dissemination; traffic jamming status; vehicular networks; Ad hoc networks; Decision support systems; Silicon;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2014 IEEE International Conference on
Conference_Location :
Sydney, NSW
Type :
conf
DOI :
10.1109/ICC.2014.6883306
Filename :
6883306
Link To Document :
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