Multi-objective biological mimicry optimization algorithm for WSN sensor node placement

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

Abstract

An optimum sensor nodes arrangement in a Wireless Sensor Network (WSN) would be able to provide a WSN with maximum coverage, minimum energy consumption and guaranteed connectivity. A sensor node placement algorithm called Multi-objective Territorial Predator Scent Marking Algorithm (MOTPSMA) that imitates the behavior of territorial predators in marking their territories with their odours is introduced 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 proposed technique is then compared with an Integer Linear Programming (ILP) algorithm in terms of coverage ratio, connectivity and energy consumption. Simulation results show that the WSN deployed with the proposed sensor node placement scheme provides better performance with larger coverage ratio, full connectivity and lower energy consumption.

Original languageEnglish
Title of host publicationISTT 2014 - 2014 IEEE 2nd International Symposium on Telecommunication Technologies
EditorsMahamod Ismail, Nordin Ramli
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages310-315
Number of pages6
ISBN (Electronic)9781479959822
DOIs
Publication statusPublished - 02 Sep 2015
Event2nd IEEE International Symposium on Telecommunication Technologies, ISTT 2014 - Langkawi, Malaysia
Duration: 24 Nov 201426 Nov 2014

Other

Other2nd IEEE International Symposium on Telecommunication Technologies, ISTT 2014
CountryMalaysia
CityLangkawi
Period24/11/1426/11/14

Fingerprint

Sensor nodes
Wireless sensor networks
Energy utilization
Odors
Linear programming

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Abidin, H. Z., Md Din, N., & Mohamed Radzi, N. A. (2015). Multi-objective biological mimicry optimization algorithm for WSN sensor node placement. In M. Ismail, & N. Ramli (Eds.), ISTT 2014 - 2014 IEEE 2nd International Symposium on Telecommunication Technologies (pp. 310-315). [7238226] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISTT.2014.7238226
Abidin, H. Zainol ; Md Din, Norashidah ; Mohamed Radzi, Nurul Asyikin. / Multi-objective biological mimicry optimization algorithm for WSN sensor node placement. ISTT 2014 - 2014 IEEE 2nd International Symposium on Telecommunication Technologies. editor / Mahamod Ismail ; Nordin Ramli. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 310-315
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Abidin, HZ, Md Din, N & Mohamed Radzi, NA 2015, Multi-objective biological mimicry optimization algorithm for WSN sensor node placement. in M Ismail & N Ramli (eds), ISTT 2014 - 2014 IEEE 2nd International Symposium on Telecommunication Technologies., 7238226, Institute of Electrical and Electronics Engineers Inc., pp. 310-315, 2nd IEEE International Symposium on Telecommunication Technologies, ISTT 2014, Langkawi, Malaysia, 24/11/14. https://doi.org/10.1109/ISTT.2014.7238226

Multi-objective biological mimicry optimization algorithm for WSN sensor node placement. / Abidin, H. Zainol; Md Din, Norashidah; Mohamed Radzi, Nurul Asyikin.

ISTT 2014 - 2014 IEEE 2nd International Symposium on Telecommunication Technologies. ed. / Mahamod Ismail; Nordin Ramli. Institute of Electrical and Electronics Engineers Inc., 2015. p. 310-315 7238226.

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

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Abidin HZ, Md Din N, Mohamed Radzi NA. Multi-objective biological mimicry optimization algorithm for WSN sensor node placement. In Ismail M, Ramli N, editors, ISTT 2014 - 2014 IEEE 2nd International Symposium on Telecommunication Technologies. Institute of Electrical and Electronics Engineers Inc. 2015. p. 310-315. 7238226 https://doi.org/10.1109/ISTT.2014.7238226