Performance analysis of evolutionary multi-objective based approach for deployment of wireless sensor network with the presence of fixed obstacles

Abdusy Syarif, Abdelhafid Abouaissa, Lhassane Idoumghar, Riri Fitri Sari, Pascal Lorenz

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)

Abstract

In this paper, a study about wireless sensor network (WSN) deployment strategy is demonstrated and made workable for the use of multi-objective approach. The development of sensor nodes by considering multiple objectives and existence of fixed obstacles is an important optimization problem. There are two objectives in this study, connectivity and coverage as two fundamental issues in wireless sensor networks deployment. In this work a multi-objective evolutionary algorithms based on elitist non-dominated sorting genetic algorithm (NSGA-II) is proposed to address this problem. Two proposed functions, ranking function and fitness function, are used to determine the best optimal solution from Pareto optimal fronts. Further we presented simulation and analysis to verify and validate the deployment of wireless sensor network in area with the presence of permanent obstacles.

Original languageEnglish
Article number7036775
Pages (from-to)1-6
Number of pages6
JournalProceedings - IEEE Global Communications Conference, GLOBECOM
DOIs
Publication statusPublished - 2014
Event2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United States
Duration: 8 Dec 201412 Dec 2014

Keywords

  • Deployment
  • Genetic Algorithm
  • Multi-objective optimization
  • Obstacle
  • Wireless Sensor Network

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