This paper presents a coverage optimization strategy for energy balance in wireless sensor networks, in which the sensing distance of nodes is adjustable. The strategy achieves coverage energy optimization balance with a prerequisite of an acceptable coverage quality of network area. Using particle swarm algorithm, it firstly optimizes the layout of the nodes in the network, based on which it then adjusts the sensing distance of the nodes to achieve best energy consumption performance of the network coverage.
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The key in using particle swarm algorithm to optimize the scheduling problem is to find an effective and feasible encoding structure.
利用粒子群算法求解调度问题的关键是建立有效的粒子编码结构。
In this paper, we propose an accurate and robust algorithm for solving the point matching problem using particle swarm optimization.
本文提出了一种基于粒子群优化算法的准确、快速和鲁棒性的点匹配方法。
A rolling load distribution optimization algorithm of tandem cold mill was designed using particle swarm optimization algorithm.
利用粒子群算法设计了一种冷连轧轧制负荷分配的优化方法。
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