摘要
该文首先介绍了Ad Hoc网络中常见的几种分簇算法以及各自的优缺点,这些分簇算法考虑的因素较为单一。而自适应按需加权(AOW)分簇算法利用加权的思想综合考虑多种因素,在实际应用中可以对影响因素进行取舍,也可以调整各因素的重要性,具有较强的通用性和灵活性。最后通过NS2仿真实验对几种分簇算法进行了比较分析,得出AOW分簇算法根据网络环境的变化动态的调整权值更能适应复杂的网络环境。
This article first introduced the Ad Hoc network of several common clustering algorithms,as well as their respective advantages and disadvantages,these algorithm consider to more single,Adaptive On-demand Weighting clustering algorithm(AOW) using weighting thought overall evaluation many kinds of factors,may carry on the choices in the practical application to the influence factor,also may ad-just various factors the importance,has the strong versatility and the flexibility.Finally,through NS2 simulation of several sub-cluster algo-rithm for a comparative analysis,AOW clustering algorithm based on the network environment changes the dynamic of the right to adjust the value in a better position to complex network environment.
作者
卢欣荣
黄小岭
LU Xin-rong1,HUANG Xiao-ling2(1.Wuhan University,Wuhan 430000,China;2.Jiangxi University of Science and Technology,Ganzhou 341000,China)
出处
《电脑知识与技术》
2008年第12X期2602-2604,共3页
Computer Knowledge and Technology
