A PROBABILITY COLLECTIVES APPROACH TO WEIGHTED CLUSTERING ALGORITHMS FOR AD HOC NETWORKS

机译：AD HOC网络的加权聚类算法的概率集合方法

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The Weighted Clustering Algorithm has been proposed for mobile ad hoc wireless networks to select a subset of the nodes to be local purveyors of media access control services to the rest of the nodes. The nodes selected are called clusterheads, and each clusterhead services the other nodes within its radio range. The underlying optimal assignment problem is NP-hard. We introduce a new metaheuristic known as probability collectives to the problem of assigning clusterheads. This is an agent-based approach, with each node in the network acting in a quasi-autonomous way. This new approach shows improved clustering results, particularly with regard to the distribution and balance of cluster sizes.

机译：已经提出了用于移动自组织无线网络的加权聚类算法，以选择节点的子集作为向其余节点的媒体访问控制服务的本地提供者。所选的节点称为簇头，每个簇头服务于其无线电范围内的其他节点。潜在的最佳分配问题是NP-hard。我们在分配簇首的问题中引入了一种新的元启发式方法，称为概率集合。这是一种基于代理的方法，网络中的每个节点都以准自治方式运行。这种新方法显示出改进的聚类结果，尤其是在聚类大小的分布和平衡方面。

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来源
《IASTED(International Association of Science and Technology for Development) International Conference on Communications and Computer Networks; 20051024-26; Marina del Rey(US)》|2005年|P.94-99|共6页
会议地点 Marina del Rey(US)
作者
Geoffrey S. Ryder; Kevin G. Ross;
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作者单位

Baskin School of Engineering, Department of Computer Engineering, University of California -Santa Cruz, 1156 High Street, Santa Cruz, CA, 95064-1077, U.S.A.;

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原文格式 PDF
正文语种 eng
中图分类通信;计算机网络;
关键词
MANETs; weighted clustering algorithm; ad hoc networks; probability collectives; optimization;

机译：MANET；加权聚类算法； ad hoc网络；概率集合；优化;

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专利

1. (k, r)-Dominating set-based, weighted and adaptive clustering algorithms for mobile ad hoc networks [J] . Anitha V.S., Sebastian M.P. Communications, IET . 2011,第13期

机译：（k，r）-用于移动自组网的基于集合的支配加权和自适应聚类算法
2. New Strategies and Extensions in Weighted Clustering Algorithms for Mobile Ad Hoc Networks [J] . Mohamed Aissa, Abdelfettah Belghith, Khalil Drira Procedia Computer Science . 2013,第1期

机译：移动Ad Hoc网络加权聚类算法的新策略和扩展。
3. REVIEW OF WEIGHTED CLUSTERING ALGORITHMS FOR MOBILE AD HOC NETWORKS [J] . Ratish Agarwal Computer Sciences and Telecommunications . 2012,第1期

机译：移动自组织网络的加权聚类算法综述
4. A PROBABILITY COLLECTIVES APPROACH TO WEIGHTED CLUSTERING ALGORITHMS FOR AD HOC NETWORKS [C] . Geoffrey S. Ryder, Kevin G. Ross, International Association of Science and Technology for Development(IASTED), IASTED International Conference on Communications and Computer Networks . 2005

机译：Ad Hoc网络加权聚类算法的概率集体方法
5. Fixed Cluster Based Cluster Head Selection Algorithm in Vehicular Adhoc Network [D] . Shahid, Muhammad Anwar. 2019

机译：Ad hoc网络中基于固定簇的簇头选择算法。
6. A Novel Clustering Algorithm for Mobile Ad Hoc Networks Based on Determination of Virtual Links Weight to Increase Network Stability [O] . Abbas Karimi, Abbas Afsharfarnia, Faraneh Zarafshan, -1

机译：基于虚拟链路权重确定以提高网络稳定性的移动自组织网络的新型聚类算法
7. New Strategies and Extensions in Weighted Clustering Algorithms for Mobile Ad Hoc Networks [O] . Aissa Mohamed, Belghith Abdelfettah, Drira Khalil 2013

机译：移动Ad Hoc网络加权聚类算法的新策略和扩展。

A PROBABILITY COLLECTIVES APPROACH TO WEIGHTED CLUSTERING ALGORITHMS FOR AD HOC NETWORKS

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