一种分簇无线传感网络的节点自诊断算法

Abstract

Abstract:

Energy-efficient cluster based wireless sensor networks are often used to transmit information.In case of failure in WSN,the diagnosis accuracy of the cluster-head nodes should be guaranteed.In this paper,a fault self-diagnosis algorithm is presented with two steps to determine the final state of each node:first,the sensor nodes are identified based on comparisons of data from neighboring nodes,and then further tests are performed to avoid diagnosis errors.Simulation results show that the two-step algorithm has good accuracy and precision of diagnosis.

Key words: cluster;self diagnosis;WSN;two steps diagnosis

CLC Number:

TP212.9

LIU Yahong,LIU Hao. A Fault Self-diagnosis Algorithm for a Cluster Based Wireless Sensor Network[J]., 2013, 26(11): 10-.

References

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A Fault Self-diagnosis Algorithm for a Cluster Based Wireless Sensor Network

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