CAJ | 학술논문

在部分节点移动的网络环境下，分析了传统静态无线传感器网络分簇算法对节点移动环境下成簇的失效性，给出了影响簇头质量的性能参数集，并提出了基于簇头质量的移动无线传感器网络分簇算法。该算法根据节点活动性、平均邻居距离、节点度偏差及信道质量等簇头性能的影响因子，通过加权的方法计算出簇头质量，在分布式传感网区域内簇头质量最大的节点将竞争成为簇头。通过理论分析和仿真对比表明，与LEACH算法相比该分簇算法降低了平均延迟，延长了网络生命期，并验证了该算法对动态拓扑具有适应性。
재부분절점이동적망락배경하，분석료전통정태무선전감기망락분족산법대절점이동배경하성족적실효성，급출료영향족두질량적성능삼수집，병제출료기우족두질량적이동무선전감기망락분족산법。해산법근거절점활동성、평균린거거리、절점도편차급신도질량등족두성능적영향인자，통과가권적방법계산출족두질량，재분포식전감망구역내족두질량최대적절점장경쟁성위족두。통과이론분석화방진대비표명，여LEACH산법상비해분족산법강저료평균연지，연장료망락생명기，병험증료해산법대동태탁복구유괄응성。
Concerning the failure of traditional static clustering algorithm to the mobile environment, this paper gave a set of parameters that affected the performance of cluster header quality and proposed a Clustering Algorithm based on Cluster Head Quality ( CA-CHQ) in mobile wireless sensor networks with partial nodes moving. Cluster head quality was calculated by weighting method from the impact factors of cluster head performance, which are node activity, average neighbor distance, deviation of node degree and channel quality. In a distributed sensor area, the node with the biggest cluster head quality would become a cluster head. Through theoretical analysis and simulation, this algorithm can reduce average delay, improve network life time, and has the adaptability to dynamic topology compared with the Low-Energy Adaptive Clustering Hierarchy ( LEACH) algorithm.