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Fuzzy Consensus Algorithms for Mobile Ad Hoc Networks Flocking

机译：移动临时网络的模糊共识算法植绒

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摘要

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：研究了移动临时网络，舰队和节点移动性植入规则的应用领域。 MANETS被建模为在没有固定基础设施的情况下形成的代理，经常呈现合作行为。模糊逻辑被用作实现共识的有效方法，并在移动代理运动中应用植绒行为。作为生物启发算法的方法是使用与人脑相似的知识的方法。提供了对植绒行为动态的正式分析，给出了对网络表示的正式分析。示出了模糊算法，仿真结果描绘了模糊调谐算法的性能。

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