基于虚拟势场的有向传感器网络覆盖增强算法的改进

Improvement of the Virtual Potential Field Based on Coverage-enhancing Algorithm for Directional Sensor Networks

在对现有的基于虚拟势场的有向传感器网络覆盖增强算法存在的问题进行深入分析和研究的基础上,提出对该算法改进和优化的方法.核心思想是针对网络中的边界区域节点受力模型,引入虚拟节点,以增强网络对边界区域的覆盖率;同时,提出自调整角速度的机制,不仅提高了该算法的执行效率,而且网络调整后其覆盖效果达到最佳.仿真结果表明,在节点随机部署的情况下,改进后的算法(IPFCEA)可以更有效地增强网络的覆盖率,提高其调整节点时的收敛速度,提升网络的整体性能.

This paper begins with analyses and investigation of the existing potential field based coverage-enhancing algorithm （ PF- CEA ） in directional sensor networks. On this basis ＇ a method of improvement and optimization of the PFCEA is proposed. The force model of nodes in the boundary region is improved, the coverage of the boundary region is enhanced by increasing the virtual node. Meanwhile, the mechanism of the self-adjusting angular velocity is presented, which doesn＇t only improves the executive efficieny of the algorithm, but also apply the optimal result after adjusting the nodes in the directional sensor networks. The simulation experi- ments show that, in the case of the nodes randomly deployed, the improved algorithm （ IPFCEA ） can effectively improve network coverage, enhance the convergence speed of the adjusting nodes and elevate overall network performance.