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An Unequal Clustering Algorithm with Load Balance for Wireless Sensor Networks

机译:无线传感器网络负载平衡的不等聚类算法

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Good clustering algorithm can effectively reduce the energy consumption of a wireless sensor network (WSN). The random in clustering will reduce the performance of clustering algorithm. Aiming at this problem, this paper proposes an unequal clustering algorithm with load balance (UCLB) for WSN. UCLB is a multi-hop algorithm and divides the nodes into clusters of different sizes. Considering the two objectives of load balancing and reducing energy consumption, UCLB elects cluster heads according to a cost parameter that is calculated by the number of around nodes and the distances to these nodes. UCLB preferentially select the node with moderate distances to the elected cluster heads as cluster head to distribute cluster heads evenly in networks. Simulation results show that the algorithm can effectively reduce the network energy consumption and prolong the network lifetime.
机译:良好的聚类算法可以有效地降低无线传感器网络(WSN)的能量消耗。随机群集将降低聚类算法的性能。针对这个问题,本文提出了一种具有负载平衡(UCLB)的不等聚类算法。 UCLB是一种多跳算法,并将节点划分为不同大小的簇。考虑到负载平衡和减少能耗的两个目标,UCLB根据由围绕节点的数量和对这些节点的距离计算的成本参数选择群集头。 UCLB preferentially select the node with moderate distances to the elected cluster heads as cluster head to distribute cluster heads evenly in networks.仿真结果表明,该算法可以有效地降低网络能耗并延长网络寿命。

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