An energy efficient cluster based hybrid optimization algorithm with static sink and mobile sink node for Wireless Sensor Networks

作者：

Highlights：

• Two approaches based on Butterfly and Ant Colony Optimization (ACO) are proposed.

• Butterfly optimization algorithm determines the optimal cluster head.

• ACO determines the optimal route between the cluster head and the sink node.

• Mobility of sink node with its model and performance function solves hot-spot issue.

• Simulation results validate the effectiveness of the proposed approaches.

摘要

•Two approaches based on Butterfly and Ant Colony Optimization (ACO) are proposed.•Butterfly optimization algorithm determines the optimal cluster head.•ACO determines the optimal route between the cluster head and the sink node.•Mobility of sink node with its model and performance function solves hot-spot issue.•Simulation results validate the effectiveness of the proposed approaches.

论文关键词：Wireless Sensor Networks,Clustering,Mobile sink,Routing,Ant Colony optimization,Butterfly Optimization

论文评审过程：Received 28 January 2022, Revised 20 March 2022, Accepted 25 April 2022, Available online 5 May 2022, Version of Record 13 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117334