Swarm intelligence based fuzzy routing protocol for clustered wireless sensor networks

作者：

Highlights：

• A fuzzy-based protocol is presented for clustered wireless sensor networks.

• The main objective is to form balanced clusters over the network.

• A hybrid swarm intelligence algorithm is utilized to optimize fuzzy rule table.

• Proposed routing protocol is successfully tested on 10 heterogeneous networks.

• Results show that our methodology outperforms the compared routing protocols.

摘要

•A fuzzy-based protocol is presented for clustered wireless sensor networks.•The main objective is to form balanced clusters over the network.•A hybrid swarm intelligence algorithm is utilized to optimize fuzzy rule table.•Proposed routing protocol is successfully tested on 10 heterogeneous networks.•Results show that our methodology outperforms the compared routing protocols.

论文关键词：Wireless sensor networks,Clustering,Fuzzy c-means algorithm,Fuzzy inference system,Firefly algorithm,Simulated annealing

论文评审过程：Received 9 December 2014, Revised 28 January 2016, Accepted 14 February 2016, Available online 18 February 2016, Version of Record 4 March 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.02.016