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The Mechanism of Abnormal Detection and Distributed Localization of Nodes Based on Trust Management in WSN

机译:基于WSN信任管理的节点异常检测和分布定位机制

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The fault of Beacon nodes, as well as the interference in radio channel environment, will all affect the performance of localization. To eliminate these interference factors, a new distributed localization algorithm is proposed based on trust management. Firstly the algorithm splits WSN into several clusters with a certain cluster protocol, and then initiates the global trust rating (GTR) and local trust rating (LTR) of Beacon nodes. To get more precise location, it needs to localize frequently and update the GTR and LTR of beacon nodes. Theoretical analysis and simulation results show that the method can not only improve the precision of the positioning, but can also be used to examine abnormal beacon nodes and infer possible interference factors in wireless channel.
机译:信标节点的故障以及无线电信道环境的干扰,都会影响本地化的性能。为消除这些干扰因素,基于信任管理提出了一种新的分布式定位算法。首先,算法将WSN与某个群集协议分成多个群集,然后启动标信标节点的全局信任额定值(GTR)和本地信任评级(LTR)。要获得更精确的位置,它需要频繁地本地化并更新信标节点的GTR和LTR。理论分析和仿真结果表明,该方法不仅可以提高定位的精度,而且还可用于检查异常信标节点并在无线信道中推断出可能的干扰因素。

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