基于遗传算法的无线传感器节点定位在农业的应用

摘要

针对传统农业中种植者不能全面掌握农作物的生长状况,提出在农作物区放置无线传感器,传感器节点定位直接影响数据的采集,通过设计节点定位模型,将遗传算法引入到定位技术中,设计适应度函数、染色体编码、选择算子、交叉算子、变异算子.仿真实验表明:将遗传算法应用于无线传感器节点定位中,能更精确计算未知节点的坐标,更好的为农业服务.%In traditional agriculture, growers cannot comprehensively grasp the growth status of crops. Therefore, wireless sensor is proposed to be placed in crop area in this paper to solve this problem. Sensor node localization directly affects data collection. As a result, through the design of node location model, genetic algorithm is introduced into the positioning technology, the design of fitness function, chromosome encoding, selection operator, crossover operator, mutation operator. Simulation results show that: the application of genetic algorithm into the localization of the wireless sensor nodes can make the calculation of coordinates of unknown nodes more precise and thus can better serve the agriculture.