卫星网络中多因素均衡的分簇算法

Multi-Factor-Balanced Clustering Algorithm in Satellite Networks

  • 摘要: 根据卫星运动的规律性,将卫星的运行周期离散化为若干时间片,采用每个时间片内网络拓扑固定不变的原理,对簇的稳定性、抗毁性和传输效率等因素进行均衡和优化;提出低地球轨道(LE0)卫星网络分簇算法,并将算法应用于Iridium模型中.仿真结果表明,应用该分簇算法后网络层的信令开销、可扩展性等指标明显优于平面网络结构下的性能.

     

    Abstract: Based on satellites' movement,a number of time slices are divided,during which the network topology can be taken as fixed.On this basis,considering multi-factors like stability,survivability and transmission efficiency and optimizing between them,a clustering algorithm in low earth orbit(LEO) satellite networks are proposed.Applying the algorithm to the Iridium model,simulation results showed that the performances on signaling overhead and scalability were much better than the case of flat network structure.

     

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