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Node Distribution Optimization in Mobile Sensor Network Based on Multi-Objective Differential Evolution Algorithm

机译:基于多目标差分进化算法的移动传感器网络节点分布优化

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In the research on mobile sensor networks, coverage control is one of the most important challenges. For the sensor network constructed by random distribution, better network coverage can be achieved by topology adjustment utilizing mobility of sensor nodes. This paper investigates how to make use of sensor radius adjustment and the mobility of the sensor nodes to improve the sensor network coverage. A node distribution optimization scheme based on multi-objective differential evolution algorithm is proposed. Simulation results show that the proposed scheme can quickly achieve node distribution optimization of a mobile sensor network, increase the effective coverage rate, reduce network redundant coverage and network energy consumption, extend network lifetime, and achieve global optimization of the deployment of the mobile sensor network.
机译:在移动传感器网络的研究中,覆盖控制是最重要的挑战之一。对于通过随机分布构造的传感器网络,可以通过利用传感器节点的移动性进行拓扑调整来实现更好的网络覆盖。本文研究如何利用传感器半径调整和传感器节点的移动性来提高传感器网络覆盖率。提出了一种基于多目标差分进化算法的节点分布优化方案。仿真结果表明,该方案可以快速实现移动传感器网络的节点分布优化,提高有效覆盖率,减少网络冗余覆盖和网络能耗,延长网络寿命,实现移动传感器网络部署的全局优化。 。

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