Study on Selfish Node Incentive Mechanism with a Forward Game Node in Wireless Sensor Networks

Autor: Mohammed Ahmed Ahmed Al-Jaoufi, Yun Liu, Zhen-jiang Zhang, Lorna Uden
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: International Journal of Antennas and Propagation, Vol 2017 (2017)
Druh dokumentu: article
ISSN: 1687-5869
1687-5877
DOI: 10.1155/2017/8591206
Popis: In a wireless sensor network, some nodes may act selfishly and noncooperatively, such as not forwarding packets, in response to their own limited resources. If most of the nodes in a network exhibit this selfish behavior, the entire network will be paralyzed, and it will not be able to provide normal service. This paper considers implementing the idea of evolutionary game theory into the nodes of wireless sensor networks to effectively improve the reliability and stability of the networks. We present a new model for the selfish node incentive mechanism with a forward game node for wireless sensor networks, and we discuss applications of the replicator dynamics mechanism to analyze evolutionary trends of trust relationships among nodes. We analyzed our approach theoretically and conducted simulations based on the idea of evolutionary game theory. The results of the simulation indicated that a wireless sensor network that uses the incentive mechanism can forward packets well while resisting any slight variations. Thus, the stability and reliability of wireless sensor networks are improved. We conducted numerical experiments, and the results verified our conclusions based on the theoretical analysis.
Databáze: Directory of Open Access Journals
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