摘要：无线传感器网络是一种新兴的网络技术，集微电子、传感器、无线通信等高新技术为一体，通过相互协作获取研究对象的相关信息并予以网络传输。为了有效的、实用的开展无线传感器网络应用，提高无线传感器网络内部的通信效率、降低网络通信的功耗，本文拟结合智能优化算法，对无线传感器网络进行分簇设计。首先，综合分析无线传感器网络的分簇技术。然后，通过分析粒子群算法的算法原理、主要算子、寻优流程等设计自适应离散粒子群算法。在此基础上，通过综合分析无线传感器网络的网络模型和分簇设计标准，结合算法，构建基于自适应离散粒子群算法的无线传感器网络分簇模型，并对典型无线传感器网络进行网络分簇仿真试验，仿真试验结果表明，基于自适应粒子群算法的无线传感器网络分簇算法能够有效的降低网络通信时的能量耗费，增强网络的生存能力。
关键词 无线传感器网络 分簇设计 粒子群算法 自适应
毕业设计说明书外文摘要
Title Wireless sensor network clustering design based on particle swarm algorithm
Abstract：Wireless sensor network (WSN) is a new kind of network technology, through mutual cooperation to obtain information. In order to effective and practical to carry out the wireless sensor network applications, improve the communication efficiency of WSN, to reduce the power consumption of the network communication, combined with the intelligent optimization algorithm, clustering design of wireless sensor network. First of all, to do with an overview of WSN. Then, build adaptive inertia weight, discretization mutation, discretization and discretization update operator, the crossover operation design adaptive discrete particle swarm optimization (ADPSO) algorithm. On this basis, through the comprehensive analysis of the network model of wireless sensor network and clustering design standards, combined with ADPSO, build based on ADPSO with adaptive wireless sensor network clustering model, and the typical wireless sensor network clustering network simulation test, simulation test results show that based on ADPSO of WSN clustering algorithm can effectively reduce the energy cost of network communication, to enhance survivability of the network..
Keywords Wireless sensor network Cluster design Particle swarm optimization Adaptive design
目 次
1 绪论 1
1.2 无线传感器网络分簇概述2
2 无线传感器网络分簇概述 3
2.1 无线传感器网络概述 3
2.2 无线传感器网络分簇及设计标准 3
3 自适应离散粒子群算法 5
3.1 粒子群算法描述 5
3.2 自适应离散粒子群算法的构建 6
3.3 自适应离散粒子群算法基本流程 7
4 基于自适应离散粒子群算法的无线传感器网络分簇 9
4.1 无线传感器网分簇设计目标函数 9
4.2 基于自适应离散粒子群算法的无线传感器网络分簇算法 10
4.3 仿真试验 11
结 论 基于粒子群算法无线传感器网络分簇算法设计:http://www.chuibin.com/zidonghua/lunwen_205615.html