Clustering in WSNs based on artificial fish swarming Algorithm

Djamila Mechta, Saad Harous

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Clustering is one of the effective techniques to conserve energy in wireless sensor networks (WSNs). Its main objective is to organize the network into clusters, and selects a leader (for each cluster) defined as cluster-head (CH). This CH is responsible to aggregate data sensed by its members and send it to the base station (BS). In this work we study the problem of energy consumption and extending the life of WSNs by proposing a new hierarchical clustering protocol C-AFSA based on behaviors: swarm, prey, follow of Artificial Fish Swarm Algorithm (AFSA) for selecting optimal CHs and forming clusters. Performance of our algorithm is compared to the protocol LEACH-C through a series of simulation using the network simulator NS2.

Original languageEnglish
Title of host publication2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages161-167
Number of pages7
ISBN (Electronic)9781538677476
DOIs
Publication statusPublished - Jun 2019
Event15th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2019 - Tangier, Morocco
Duration: Jun 24 2019Jun 28 2019

Publication series

Name2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019

Conference

Conference15th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2019
Country/TerritoryMorocco
CityTangier
Period6/24/196/28/19

Keywords

  • Artificial Fish Swarm Algorithm
  • Clustering
  • Hierarchical routing protocols
  • Optimization
  • Wireless Sensor Networks

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality

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