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A Redundancy Detection Algorithm for Complex Environment in Wireless Sensor Networks

机译:无线传感器网络中复杂环境的冗余检测算法

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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.
机译:由于节点能耗的不平衡,节点的感知半径互不相同,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,提出了相应的冗余检测准则,并分析了准则的合理性。在保持原有网络覆盖质量的前提下,该算法可以更充分地检测出冗余节点。仿真结果表明,在布尔传感模型下,当节点具有相同的传感半径的复杂环境下,该算法在工作中激活的节点较少,冗余检测是彻底的;当节点具有不同的传感半径时,该算法可以检测到冗余。仍然充分有效地结点;与基于网格的方法相比,该算法在概率感知模型下的性能稳定,并且更容易,更准确。

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