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首页> 外文期刊>International Journal of Distributed Sensor Networks >ECAPM: An Enhanced Coverage Algorithm in Wireless Sensor Network Based on Probability Model
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ECAPM: An Enhanced Coverage Algorithm in Wireless Sensor Network Based on Probability Model

机译:ECAPM:一种基于概率模型的无线传感器网络增强覆盖算法

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摘要

How to cover a monitored area with the minimum number of sensor nodes is a fundamental in wireless sensor network (WSN). To address this problem, this paper proposes ECAPM, that is, Enhanced Coverage Algorithm Based on Probability Model. Given an area to monitor, ECAPM can calculate the minimum number of sensor nodes to cover that area. Firstly, ECAPM introduces the method to compute the expectation of probability that a sensor node is covered. Then ECAPM presents the procedure of expected value calculation when target node is covered by one sensor node andNsensor nodes. Finally ECAPM verifies the relation of proportional function when random variables are not independent. The simulation results show that ECAPM can cover the monitored area effectively with less sensor nodes and improve the quality of coverage.
机译:如何以最少的传感器节点数覆盖监视区域是无线传感器网络(WSN)的基本原则。针对这一问题,本文提出了ECAPM,即基于概率模型的增强覆盖算法。给定要监视的区域,ECAPM可以计算出覆盖该区域的最少传感器节点数。首先,ECAPM引入了一种计算传感器节点被覆盖的概率预期的方法。然后,当目标节点被一个传感器节点和N个传感器节点覆盖时,ECAPM给出了期望值的计算过程。最后,当随机变量不是独立的时,ECAPM验证比例函数的关系。仿真结果表明,ECAPM能够以更少的传感器节点有效覆盖被监测区域,并提高覆盖质量。

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