节点文献
基于蛙跳算法的无线传感器网络节点重部署
Node Redeployment of Wireless Sensor Network Based on Leapfrog Algorithm
【摘要】 针对传统无线传感器网络节点重部署覆盖方法没有进行子群节点局部搜索,导致方法存在覆盖率较低、节点连通性较差等问题,提出基于蛙跳算法的无线传感器网络节点重部署方法,初始化无线传感器网络节点,引入蛙跳算法,将全局的信息交换和子群局部搜索结合,确定无线传感器所能够探测的区域范围,利用微积分方法求解不规则区域,获取网络节点最优解,实现无线传感器网络节点的重部署。实验结果表明,研究方法覆盖率较高、节点连通性较好、节点能量较高,具有更好的应用价值。
【Abstract】 Traditionally, the wireless sensor network node redeployment ignored the local search of subgroup nodes, leading to low coverage rate and node connectivity. Therefore, a method of deploying wireless sensor network nodes based on SFLA was put forward. Firstly, the wireless sensor network node was initialized and SFLA was introduced. The global exchange of information was combined with the local search of the subgroup to determine the range that wireless sensors could detect. Moreover, the calculus method was used to solve irregular areas and thus to find the optimal solution. Finally, the deployment of wireless sensor network nodes was completed. Experimental results show that the proposed method has a higher coverage rate, better node connectivity, and higher node energy. This method has a better application value.
【Key words】 Shuffled Frog Leaping Algorithm(SFLA); Wireless sensor network; Local search; Differential and integral calculus; Node redeployment; Optimal solution;
- 【文献出处】 计算机仿真 ,Computer Simulation , 编辑部邮箱 ,2021年10期
- 【分类号】TP212.9;TN929.5;TP18
- 【被引频次】3
- 【下载频次】218