Journal of Jilin University Science Edition ›› 2023, Vol. 61 ›› Issue (6): 1441-1447.

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Energy Efficient Clustering Routing Algorithm for Heterogeneous Wireless Sensor Networks Based on Energy Iterative Model and Bee Colony Optimization

PAN Jiqiang, LIU Jie, DA Liexiong, HUANG Xiandai   

  1. School of Mathematics and Computer Science, Shaanxi University of Technology, Hanzhong 723000, Shaanxi Province, China
  • Received:2023-04-12 Online:2023-11-26 Published:2023-11-26

Abstract: Aiming at the problem of large number of data transmission node deaths and high transmission energy output during energy-saving clustering routing communication in wireless sensor networks, we proposed an energy efficient clustering routing algorithm for heterogeneous wireless sensor networks based on energy iterative model and bee colony optimization. Firstly, a network communication energy consumption model was constructed, with the goal of reducing energy consumption and combining differential bee colony algorithm to timely optimize the distribution of network nodes. Secondly, based on the optimization results of network node distribution, an energy efficient clustering method for heterogeneous wireless sensor networks was developed, the energy iterative clustering selection method was used to determine the cluster head to obtain the cluster head radius and complete the energy efficient clustering of communication nodes in heterogeneous wireless sensor networks. Finally, we set the distance between the communication cluster head node and the base station, determined the routing level of node communication, and combined multi hop routing communication to achieve energy efficient routing communication in heterogeneous wireless sensor networks. The experimental results show that when using the proposed method for network energy efficient clustering routing communication, the maximum number of dead data transmission nodes is 22, and the maximum energy consumption of node transmission is 21 nJ/bit, indicating that the method has good energy efficient effect on node communication.

Key words:  , energy iterative method, differential bee colony algorithm,  , heterogeneous wireless sensor networks, clustering routing algorithm, energy efficient clustering

CLC Number: 

  • TP391