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Coverage Maximization in Wireless Sensor Networks Using Minimal Exposure Path and Particle Swarm Optimization

机译：使用最小曝光路径和粒子群优化的无线传感器网络中的覆盖范围最大化

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摘要

The fundamental objective of deploying wireless sensors is to monitor a physical condition(s) within the desired region and relay the measured data to the interested parties through a gateway. However, achieving maximum coverage over the desired area after the initial random deployment of nodes is likely impossible. Arbitrary paths become exposed, uncovered by any of the sensor nodes questioning the quality of service of the network. In our proposed coverage maximization scheme, exposure profiles of sensor nodes were used by the sink node to compute the minimal exposure path. A combination of the computed minimal exposed path and the ratio of covered to uncovered grids were used as the function fitness in our particle swarm optimization algorithm. Bearing in mind the energy constraints of sensor nodes, randomly deployed nodes were only repositioned in the optimization process when their energy levels are above the predefined threshold. The accuracy and efficiency of our scheme are established via simulations. We compared the results of our scheme with a similar optimization scheme. The results showed our scheme achieved a higher coverage degree with the same number of deployed nodes over a region of interest of the same size.
机译：部署无线传感器的基本目标是监视所需区域内的物理条件，并通过网关将测量的数据中继到有关各方。然而，在初始随机部署节点后，可能无法实现所需区域的最大覆盖。通过任何传感器节点揭示任意路径，发现网络的服务质量。在我们提出的覆盖范围最大化方案中，汇聚节点使用传感器节点的曝光简档来计算最小的曝光路径。计算的最小暴露路径的组合和覆盖到未覆盖网格的比率用作我们的粒子群优化算法中的功能适应性。在考虑到传感器节点的能量限制，当它们的能级高于预定阈值时，随机部署的节点仅在优化过程中重新定位。我们的计划的准确性和效率是通过仿真建立的。我们将我们的计划的结果与类似的优化方案进行了比较。结果表明，我们的方案在相同大小的感兴趣区域上实现了具有相同数量的部署节点的覆盖度。

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  • 来源
    《Sensing and imaging》 |2020年第1期|4.1-4.16|共16页
  • 作者

    Ernest Bonnah; Shiguang Ju; Wenpeng Cai;

  • 作者单位

    School of Computer Science and Telecommunication Engineering Jiangsu University No. 301 Xuefu Road Zhenjiang 212013 Jiangsu People’s Republic of China;

    School of Computer Science and Telecommunication Engineering Jiangsu University No. 301 Xuefu Road Zhenjiang 212013 Jiangsu People’s Republic of China;

    School of Computer Science and Telecommunication Engineering Jiangsu University No. 301 Xuefu Road Zhenjiang 212013 Jiangsu People’s Republic of China;

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  • 正文语种 eng
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  • 关键词

    Wireless sensor networks; Minimal exposure path; Coverage degree; Energy constraints; Particle swarm optimization;

    机译：无线传感器网络;最小的曝光路径;覆盖度;能量限制;粒子群优化;

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