精细农业无线传感器网络终端节点定位研究

Precision Agriculture Wireless Ssensor Network Terminal Node Localization

针对现有精细农业传感器网络监测系统中的终端节点模块定位算法易陷入局部最优、定位精度低等缺陷,提出了一种改进无线传感器网络节点定位算法针对大豆农田Zig Bee无线网络终端节点进行定位,采用高斯数据筛选模型修正接收信号强度测量距离。同时,在标准粒子群算法基础上引入混合变异策略,运用混合策略中各个变异函数的优势在算法搜索过程中作用于种群,使粒子跳出局部最优,保证全局搜索遍历能力。大豆实验田试验表明:标准粒子群定位算法和本文提出的混合变异粒子群定位算法的总体定位平均误差分别为1.746 1m和1.1 7 0 8 m,表明改进方法的定位精度更高。

For existing precision agriculture sensor network node localization algorithm is easy to fall into local optimum positioning accuracy and low, this paper presents an improved wireless sensor network node localization algorithm to target ZigBee wireless network nodes soybean fields, gaussian filter model updating data received signal strength measurements, Introduced in the standard particle swarm algorithm based on the mixed mutation strategy, using the advantages of a mixed strategy of each variogram role in population in the algorithm search process, the particles trapped in local minima, to ensure global search ability to traverse. By experimental field trials soybean farm, the average positioning error standard particle swarm algorithm and proposed positioning mutation particle swarm hybrid positioning algorithms were positioning accuracy 1. 7461m and 1. 1708m, it indicates that more accurate methods of improvement.