【摘要】 在自组网中,MSWCA是考虑运动相关性的分群算法中在分群稳定性度量方面考虑得最全面的典型算法。针对MSWCA"只考虑群内稳定性,而忽视群间稳定性"的问题,提出一种增强分群稳定性的分群算法(CAECS)。该算法基于移动预测思想,综合考虑群内稳定性、群间稳定性和分群优化,通过调节权值使算法适用于不同的场景。仿真结果表明:当权值取值适当时,CAECS在分群稳定性和分群维护开销等性能指标上都要优于MSWCA。更多还原

【Abstract】 In Ad hoc networks,MSWCA,which makes the most comprehensive consideration on clusters’ stability,is a typical algorithm of the motion-correlation considered clustering algorithm.Aiming at MSWCA’s problem that "it only considers intracluster stability,but neglects intercluster stability",a clustering algorithm which enhances clusters’ stability(CAECS) was proposed.Based on mobility prediction idea,CAECS considers intracluster stability,intercluster stability and clusters’ optimization comprehensively,and it’s adapted to different scenarios by adjusting weights.The simulation shows that CAECS outperforms MSWCA on clusters’ stability and clusters’ maintenance overheads.更多还原