Distributed Energy-Economical Routing Algorithm Based on Game-Theory for WSN

Heinzelman W, Chandrakasan A, and Balakrishnan H. Anapplication-specific protocol architecture for wirelessmicrosensor networks. IEEE Trans. on WirelessCommunications, 2002, 1(4): 660-667.[2]Yu Y, Govindan R, and Estrin D. Geographical andenergy-aware routing: a recursive data disseminationprotocol for wireless sensor networks. Technical ReportUCLA-CSD TR-01-0023, Los Angeles: University ofCalifornia, 2001: 1-11.[3]Kannan R, Ray L, and Iyengar S S, et al.. Max-minlength-energy-constrained routing in wireless sensor networks.Proceedings of 1st European Conference Workshop onWireless Sensor Networks, Berlin, Germany, January 18-21,2004: 234-249.[4]Kannan R and Iyengar S S. Game-theoretic models forreliable path-length and energy-constrained routing withdata aggregation in wireless sensor networks[J].IEEE Trans. onSelected Areas of Communications.2004, 22(6):1141-1150[5]Wang Weidong and Zhu Qingxin. A hierarchical clusteringalgorithm and cooperation analysis for wireless sensornetworks[J].Journal of Software.2006, 17(5):1157-1167[6]Zheng Zengwei, Wu Zhaohui, and Lin Huaizhong. Clusteringrouting algorithm using game-theoretic techniques for WSNs.Proceedings of 2004 IEEE International Symposium onCircuits and Systems, Vancouver, BC, Canada, May 23-26,2004, Vol. 4: 904-907.[7]Myerson R B. Game Theory-Analysis of Conflict. Boston:Harvard University Press, 1991, Chapter 4.[8]Younis O and Fahmy S. Distributed clustering in ad-hocsensor networks: A hybrid, energy-efficient approach.Proceedings of IEEE INFOCOM on Computer andCommunications Societies, Hongkong, China, March 7-11,2004, Vol. 1: 629-640.