基于遗传算法的无线传感器网络节点优化方法研究  

Research on optimization method of wireless sensor network node based on genetic algorithm

作　　者：刘燕[1] 

机构地区：[1]嘉应学院电子信息工程学院,广东梅州514015

出　　处：《无线互联科技》2016年第17期13-14,共2页Wireless Internet Technology

摘　　要：随着科技的不断发展,传感器网络得到了极大的发展,其拥有极为广阔的应用前景,已被应用于智能家居、空间探索、军事、健康护理以及环境监测等领域。文章就其测控系统所具有的特殊性,提出了一种可以达到节点连通约束来对节点数量加以减少的新模型,同时利用遗传算法对其加以优化计算。要想使节点收敛速度大幅提升,文章将采取以二分法为基础的遗传算法进行研究。With the continuous development of science and technology, the sensor network has been developed greatly, which has a very broad application prospects, and has been applied to smart home, space exploration, military, health care and environmental monitoring and other fields. A new model which can reduce the number of nodes in the control system is proposed in this paper, which can be achieved by using the genetic algorithm to optimize the measurement system. In order to improve the convergence speed of the nodes, this paper will adopt the genetic algorithm based on the dichotomy to carry out the research.

关 键 词：遗传算法 无线传感器网络 节点优化 连通性 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置] TN929.5[自动化与计算机技术—控制科学与工程] TP18[电子电信—通信与信息系统]