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基于均分簇算法的战争Ad Hoc网络广播风暴抑制

Control Ad Hoc Network Strom based on Self-adjusting Average Clustering Algorithm
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摘要 网络广播是维持网络正常运作的基本手段,但Ad Hoc网络拓朴的频繁变化,将使网络广播无法进行收敛,形成广播最终会使本来就受限的资源趋于濒绝,网络无法通信而瘫痪。为此,提出了一种自适应均分簇理论SACA,通过分层虚拟子网的过滤与阻隔算法,有效地抑制网络广播风暴。 Network broadcasting is the basic means to maintain the normal operation of the network, but frequent changes in the Ad Hoc network topology. Convergence will allow for not broadcasting network, broadcasting will ultimately shape the already limited resources tend to the dying. Communication network not paralyzed. This paper presents a theoretical cluster SACA adaptive equalization, filtering through hierarchical virtual subnet and blocking algorithm effectively curb the network broadcasting turmoil.
出处 《火力与指挥控制》 CSCD 北大核心 2008年第12期30-33,40,共5页 Fire Control & Command Control
基金 国家自然科学基金(60362001) 云南省教育厅科学研究基金资助项目(5Y0647D)
关键词 广播风暴 均分簇算法 虚拟子网 radio turmoil sharing,clustering algorithm virtual ,subnet
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参考文献16

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