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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.
Based on the deep analysis and research on existing problems of the enhanced sensor network coverage enhancement algorithm based on virtual potential field, the method of improving and optimizing this algorithm is put forward.The core idea is to address the problem of the node in the boundary region in the network Force model is proposed to enhance the coverage of the network to the border area. At the same time, the mechanism of self-adjusting angular velocity is proposed, which not only improves the execution efficiency of the algorithm, but also achieves the best coverage effect after the network is adjusted. The simulation results show that, In the case of random deployment of nodes, the improved algorithm (IPFCEA) can effectively enhance the coverage of the network, improve the convergence rate of nodes and improve the overall network performance.