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An improved dynamic deployment method for wireless sensor network based on multi-swarm particle swarm optimization

机译:基于多群粒子群算法的无线传感器网络动态部署改进方法

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Dynamic deployment methods for wireless sensor network (WSN) can improve the quality of service (QoS) of the network by adjusting positions of mobile nodes. In the dynamic deployment problem model of this paper, not only the coverage rate of WSN but also the moving distance of mobile nodes is taken into consideration. This kind of model can be abstracted into multi-objective optimization problem, and particle swarm optimization (PSO) is introduced to solve this problem. In this paper, combined with previous work, an improved dynamic deployment method is proposed based on multi-swarm PSO. Specifically, we propose a discrete PSO to calculate the distance of mobile solutions, and a multi-swarm PSO is designed to optimize network performance for enhancing the QoS of deployment which includes higher coverage rate and lower energy consumption of mobile nodes. Experimental results demonstrate that the proposed method has a good performance in solving the WSN deployment problem.
机译:无线传感器网络(WSN)的动态部署方法可以通过调整移动节点的位置来提高网络的服务质量(QoS)。在本文的动态部署问题模型中,不仅要考虑无线传感器网络的覆盖率,还要考虑移动节点的移动距离。可以将这种模型抽象为多目标优化问题,并引入粒子群优化(PSO)来解决该问题。本文结合先前的工作,提出了一种基于多群PSO的改进的动态部署方法。具体来说,我们提出了一种离散的PSO来计算移动解决方案的距离,并设计了一个多群PSO来优化网络性能以增强部署的QoS,其中包括更高的覆盖率和更低的移动节点能耗。实验结果表明,该方法在解决WSN部署问题上具有良好的性能。

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