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中文摘要: 针对有向传感器网络的覆盖增强这个研究热点，本文提出一种虚拟力导向微粒群的有向传感器网络覆盖增强策略VFPSO。首先分析节点相互之间作用力，建立了一种节点所受的虚拟力和调整角度之间的关系模型，然后在微粒群算法速度更新过程中，通过这个关系模型，虚拟力影响微粒更新速度，加快粒子群算法的收敛速度。仿真实验表明，虚拟力导向微粒群的有向传感器网络覆盖增强算法能够更快地收敛至全局最优解，并且算法运行时间有效缩短。
Abstract:In order to enhance the coverage ratio in directional sensor network, this paper proposes virtual force-directed particle swarm optimization (VFPSO) strategy. This strategy combines the virtual force (VF) algorithm with particle swarm optimization (PSO). It at first builds up a relationship model between the force and the adjustable angle. Then, it uses this model in optimizing process in PSO, where the virtual forces are used to guide updating velocity of each particle for improving the convergence speed. Simulation results demonstrate that VFPSO has better performance on the coverage and regional convergence than the VF algorithm and PSO algorithm.
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