改进果蝇优化算法的WSNs节点定位方法
Wireless Sensor Node Location Approach Based on Improved Fruit Flies Optimization Algorithm
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摘要: 提出了一种基于改进果蝇优化算法的无线传感器网络节点定位算法.该算法首先依据实际情况确定种群个体数量和最大迭代次数,随机初始"果蝇"位置,然后利用"果蝇"-节点位置的迭代比较,不断缩小未知节点与信标节点之间的距离误差,通过100次迭代,最终确定最优位置.仿真结果表明,该定位算法实现简单,收敛速度快,且有很高精度.Abstract: A new node localization approach of Wireless Sensor Networks based on improved fruit fly optimization algorithm is investigated.According to the actual situation to determine population maximum iterations,and random initial fruit fly swarm location,the distance error between the unknown node and beacon node is reduced though 100 times iterative comparison.Simulation results indicate that the positioning algorithm is simple,fast convergence and high accuracy.
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