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Improved Clustering Optimization Algorithm for Wireless Sensor Network Energy Balance

Volume 15, Number 5, May 2019, pp. 1445-1452
DOI: 10.23940/ijpe.19.05.p21.14451452

Jinyu Li and Jun Li

School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China

(Submitted on December 18, 2018; Revised on January 12, 2019; Accepted on February 16, 2019)

Abstract:

To get over the limited energy of nodes and unbalanced energy consumption in wireless sensor networks (WSN), this paper puts forward a WSN clustering routing algorithm based on weight function timing. The algorithm was applied to build the weight function between node aggregation degree and residual energy. Then, the weight function was based on producing the timing time for all nodes. Both the iteration number and the energy consumption were reduced in cluster head selection. At the same time, the node energy consumption rate and the distance from the node to the sink node were taken into consideration. Next, the reasonable cluster head was chosen according to each node's weight function value and the timing time. In the periodic clustering process, the proposed algorithm removes the aggregation degree exchange between the nodes, thus reducing the network traffic and lowering the network energy consumption. Simulation results show that the algorithm achieves excellent cluster convergence and stable cluster size.

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