基于离散粒子群算法的无线传感器网络拓扑优化  被引量:4

Topology Optimization of Wireless Sensor Network based on Discrete Particle Swarm Algorithm

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作  者:黄红波[1] 王勇智 HUANG Hong-bo;WANG Yong-zhi(Yueyang Vocational Technical College,Yueyang 414006,China;School of Information Science and Engineering,Hunan Insti-tute of Science&Technology,Yueyang 414006,China)

机构地区:[1]岳阳职业技术学院,湖南岳阳414006 [2]湖南理工学院信息科学与工程学院,湖南岳阳414006

出  处:《电脑知识与技术》2021年第22期10-12,共3页Computer Knowledge and Technology

基  金:湖南省自然科学基金项目——基于精准农业的无线传感器网络数据传输技术研究(2018JJ2155)。

摘  要:无线传感器网络技术的出现使得农业更加精准化、智能化,其在农业上的应用环境如果园与水果大棚等往往具有面积大、作物多等特点,需要更多的传感器节点以用于监测。由于传感器节点往往使用电池进行供电,有限的能量也给网络的鲁棒性带来了更大的挑战。基于离散粒子群算法设计了一种无线传感器网络的拓扑优化算法,在保证网络覆盖的情况下,通过尽可能减少活动节点的数量来降低网络的能量损耗,延长网络的生命周期,从而提高无线传感器网络的鲁棒性。The emergence of wireless sensor network technology makes agriculture more precise and intelligent.Its application environment in agriculture,such as gardens and fruit greenhouses,often has the characteristics of a large area and many crops,and more sensor nodes are needed for monitoring.Since batteries often power sensor nodes,limited energy brings more significant challenges to the network's robustness.This paper sets up a topology optimization algorithm for wireless sensor networks based on the discrete particle swarm algorithm.Under the condition of ensuring network coverage,the energy loss of the network is reduced by reducing the number of active nodes as much as possible,and the life cycle of the network is prolonged,thereby improving the robustness of the wireless sensor network.

关 键 词:无线传感器网络 离散粒子群优化算法 网络拓扑 

分 类 号:TP915.04[自动化与计算机技术]

 

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