王焱, 杨晓伟, 牟昊楠. 基于剩余能量级别的WSN坏点检测算法[J]. 微电子学与计算机, 2015, 32(5): 55-58,62. DOI: 10.19304/j.cnki.issn1000-7180.2015.05.012
引用本文: 王焱, 杨晓伟, 牟昊楠. 基于剩余能量级别的WSN坏点检测算法[J]. 微电子学与计算机, 2015, 32(5): 55-58,62. DOI: 10.19304/j.cnki.issn1000-7180.2015.05.012
WANG Yan, YANG Xiao-wei, MU Hao-nan. The WSN Damaged Nodes Detection Algorithm Based on the Level of Residual Energy[J]. Microelectronics & Computer, 2015, 32(5): 55-58,62. DOI: 10.19304/j.cnki.issn1000-7180.2015.05.012
Citation: WANG Yan, YANG Xiao-wei, MU Hao-nan. The WSN Damaged Nodes Detection Algorithm Based on the Level of Residual Energy[J]. Microelectronics & Computer, 2015, 32(5): 55-58,62. DOI: 10.19304/j.cnki.issn1000-7180.2015.05.012

基于剩余能量级别的WSN坏点检测算法

The WSN Damaged Nodes Detection Algorithm Based on the Level of Residual Energy

  • 摘要: 针对无线网络中的坏点识别问题,综合考虑网络的能耗和安全问题,提出一种基于节点剩余能量的坏点识别算法.该算法充分考虑了剩余能量对节点的制约,并依据能量信息对节点损坏标准值进行了改进.实验仿真的数据证明,该算法大大提高了坏点的正确检测率、网络数据的可靠性以及网络运行的安全性.

     

    Abstract: In this paper, a wireless network to identify damaged nodes problem, considering the energy consumption and network security issues, is proposed based on the residual energy of damaged nodes detection algorithm. The algorithm takes into account the constraints on node residual energy and energy information based on the standard value of the node damage has been improved. Experimental simulation data show that this algorithm has greatly increased the damaged nodes correct detection rate, the reliability of the network data, and the safety of network operation.

     

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