精细农业无线传感器网络终端节点定位研究

发布时间：2019-07-04 14:36

【摘要】：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。
[Abstract]:In view of the shortcomings of the terminal node module positioning algorithm in the existing fine agricultural sensor network monitoring system, such as easy to fall into local optimization and low positioning accuracy, an improved wireless sensor network node location algorithm is proposed to locate the terminal nodes of soybean farmland Zig Bee wireless network, and the Gaussian data screening model is used to modify the measurement distance of received signal strength. At the same time, based on the standard particle swarm optimization algorithm, the hybrid mutation strategy is introduced, and the advantages of each mutation function in the hybrid strategy are used to act on the population in the search process of the algorithm, so that the particles can jump out of the local optimization and ensure the ability of global search traversing. The experimental results of soybean experimental field show that the average positioning errors of the standard particle swarm optimization algorithm and the hybrid variant particle swarm optimization algorithm proposed in this paper are 1.746 1m and 1.170 m, respectively, indicating that the positioning accuracy of the improved method is higher than that of the standard particle swarm optimization algorithm and the hybrid variant particle swarm optimization algorithm proposed in this paper.
【作者单位】：东北农业大学电气与信息学院;
【基金】：黑龙江省自然科学基金面上项目(C2015006) 教育部“春晖计划”基金项目(Z2012074) 黑龙江省教育厅科技项目(12521038)
【分类号】：S126

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