A Game Theory based Fault Tolerance Routing Scheme for Wireless Sensor Networks

Alpi Tomar, P. Chanak
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Abstract

Wireless sensor networks (WSNs) have become a key technology in numerous applications such as health monitoring, environmental monitoring, irrigation facilities management, underground communication, and monitoring systems. In this network, sensor nodes are likely to fail due to energy exhaustion, software failures, hardware malfunctions, etc. One of the main challenges in WSNs is fault tolerance. The present fault tolerance schemes either use additional energy to diagnose and recovery or need to use further resources. This paper proposes a game theory-based clustering method for fault tolerance in wireless sensor networks. In the proposed scheme, non-cluster head nodes pick a limited number of targets in the data transmission. Thus it expends less energy. The results obtained from the simulation show that the proposed scheme outperforms the existing solutions in terms of the dissipation of energy, the number of active nodes and the number of dead nodes.
基于博弈论的无线传感器网络容错路由方案
无线传感器网络(WSNs)已成为健康监测、环境监测、灌溉设施管理、地下通信和监测系统等众多应用中的关键技术。在这种网络中,传感器节点很可能由于能量耗尽、软件故障、硬件故障等原因而失效。无线传感器网络的主要挑战之一是容错。目前的容错方案要么使用额外的能量来诊断和恢复,要么需要使用更多的资源。提出了一种基于博弈论的无线传感器网络容错聚类方法。在该方案中,非簇头节点在数据传输中选取有限数量的目标。因此,它消耗更少的能量。仿真结果表明,该方案在能量耗散、活动节点数和死亡节点数方面都优于现有方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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