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Energy-Balanced Clustering with Master/Slave Method For Wireless Sensor Networks

机译:与无线传感器网络的主/从方法的能量平衡聚类

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Traditional clustering algorithms for WSN (wireless sensor networks) select only one CH (cluster head) in each cluster, which consumes energy at the CH fast and shortens the network lifetime greatly. In this paper, EBCMS (Energy-Balanced Clustering algorithm with Master/Slave method) is proposed to solve this problem. The key idea of the algorithm is that one master CH and two slave CHs are chosen in each cluster. EBCMS selects the nodes with more residual energy as master CHs and slave CHs. In procedure of data forwarding, EBCMS selects those nodes as relay nodes, which have minimum energy consumption for forwarding. The simulation results prove that EBCMS improves by 86percent compared with LEACH and 43percent compared with RRCH in the dead time of half of nodes in the area of 500m*500m, while it improves by 34percent compared with LEACH and 37percent compared with RRCH (Round-Robin Cluster Head method) in the area of 1000m*1000m.
机译:用于WSN(无线传感器网络)的传统聚类算法仅在每个群集中选择一个CH(群集头),这在CH快速消耗能量,并大大缩短网络寿命。在本文中,提出了EBCMS(具有主/从方法的能量平衡聚类算法)来解决这个问题。算法的关键概念是每个群集中选择一个主CH和两个从​​属CHS。 EBCMS选择具有更多残留能量的节点作为主CHS和Slave CHS。在数据转发的过程中,EBCMS选择那些节点作为中继节点,其具有用于转发的最小能耗。仿真结果证明,与射击和43平方相比,EBCMS通过85米×500m的节点的一半的死区时间与RRCH相比,与RRCH相比,与RRCH相比,它通过34平方增加了34平方(循环簇头法)在1000米* 1000米的面积中。

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