WSN sensor node placement approach based on multi-objective optimization

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Abstract

Wireless Sensor Network (WSN) with maximum coverage, minimum energy consumption and guaranteed connectivity can be achieved through an optimum sensor node placement scheme. A sensor node placement algorithm that utilizes Multi-objective Territorial Predator Scent Marking Algorithm (MOTPSMA) is presented in this paper. The MOTPSMA deployed in this paper uses the minimum uncovered area and minimum energy consumption as the objective functions subject to full connectivity constraint. The performance of the WSN deployed with MOTPSMA is then compared with another algorithm known as Multi-objective Evolutionary Algorithm based on Fuzzy Dominance (MOEA/DFD) in terms of coverage ratio, connectivity and energy consumption. Simulation results show that the WSN deployed with the proposed sensor node placement algorithm provides a larger coverage ratio, full connectivity and lower energy consumption.

Original languageEnglish
Title of host publicationIEEE TENSYMP 2014 - 2014 IEEE Region 10 Symposium
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages111-115
Number of pages5
ISBN (Electronic)9781479920280
Publication statusPublished - 23 Jul 2014
Event2014 IEEE Region 10 Symposium, IEEE TENSYMP 2014 - Kuala Lumpur, Malaysia
Duration: 14 Apr 201416 Apr 2014

Publication series

NameIEEE TENSYMP 2014 - 2014 IEEE Region 10 Symposium

Other

Other2014 IEEE Region 10 Symposium, IEEE TENSYMP 2014
CountryMalaysia
CityKuala Lumpur
Period14/04/1416/04/14

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All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Engineering(all)

Cite this

Abidin, H. Z., Md Din, N., & Mohamed Radzi, N. A. (2014). WSN sensor node placement approach based on multi-objective optimization. In IEEE TENSYMP 2014 - 2014 IEEE Region 10 Symposium (pp. 111-115). [6863007] (IEEE TENSYMP 2014 - 2014 IEEE Region 10 Symposium). Institute of Electrical and Electronics Engineers Inc..