A Redundancy Detection Algorithm for Complex Environment in Wireless Sensor Networks

W. Qu, Jinkuan Wang, Zhigang Liu
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引用次数: 2

Abstract

Due to the imbalance of the node’s energy consumption the sensing radius of node is different between each other, and in view of this complex application environment, a redundancy detection algorithm is proposed. The corresponding redundancy detection criteria are proposed under Boolean sensing model and probability sensing model and the reasonableness of the criteria are analyzed. Under the condition of maintaining the coverage quality of original network, the algorithm can detect the redundant node more adequately. Simulation results show that, in the complex environment when the nodes have the same sensing radius under Boolean sensing model, the algorithm activates less node in work and the redundancy detection is thorough, and when the nodes have different sensing radius, the algorithm detects the redundant node adequately and efficiently still; the performance of the algorithm under probability sensing model is stable, and it is easier and more accurate compared with grid-based method.
一种面向复杂环境的无线传感器网络冗余检测算法
由于节点能量消耗的不平衡,节点的感知半径不同,针对这种复杂的应用环境,提出了一种冗余检测算法。在布尔感知模型和概率感知模型下分别提出了相应的冗余检测准则,并对准则的合理性进行了分析。在保持原有网络覆盖质量的前提下,该算法能更充分地检测出冗余节点。仿真结果表明,在布尔感知模型下节点感知半径相同的复杂环境下,算法激活的工作节点少,冗余检测彻底;当节点感知半径不同时,算法仍能充分有效地检测冗余节点;该算法在概率感知模型下性能稳定,与基于网格的方法相比,更简单、更准确。
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