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Fuzzy Consensus Algorithms for Mobile Ad Hoc Networks Flocking

机译:Ad Hoc网络植绒的模糊共识算法。

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The field of mobile ad hoc networks, MANETs, and the application of flocking rules for node mobility are investigated. MANETs are modelled as agents forming communities without fixed infrastructure for a certain time period often presenting cooperative behaviour. Fuzzy logic is used as an effective way to achieve consensus and apply flocking behaviour on the movement of the mobile agents. The method which is a biological inspired algorithm is an approach of using knowledge in similar way to the human brain. A formal analysis of the dynamics of flocking behaviour is derived and a formal analysis of network representation is given. The fuzzy algorithm is illustrated and simulation results depict the performance of the fuzzy tuned algorithm.
机译:研究了移动自组织网络,MANET和植绒规则在节点移动性方面的应用。 MANET被建模为在一定时期内没有固定基础结构的社区,这些社区通常表现出合作行为。模糊逻辑被用作达成共识并将植绒行为应用于移动代理移动的有效方法。该方法是一种生物启发算法,是一种以类似于人脑的方式使用知识的方法。得出了植绒行为动力学的形式分析,并给出了网络表示形式的形式分析。说明了模糊算法,仿真结果描述了模糊调谐算法的性能。

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