Energy efficient sensor nodes placement using Territorial Predator Scent Marking Algorithm (TPSMA)

H. Z. Abidin, Norashidah Md Din

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

The positions of sensor nodes in a Wireless Sensor Network (WSN) must be able to provide maximum coverage with a longer lifetime. This paper proposed a sensor node placement technique that utilizes a new biologically inspired optimization technique that imitates the behavior of territorial predators in marking their territories with their odors known as Territorial Predator Scent Marking Algorithm (TPSMA). The TPSMA deployed in this paper uses the maximum coverage ratio as the objective function. The performance of the proposed technique is then compared with other schemes in terms of uniformity and average energy consumption. Simulation results show that the WSN deployed with the proposed sensor node placement scheme consumes lower energy compared to the other two schemes and is expected to provide longer lifetime.

Original languageEnglish
Article number012043
JournalIOP Conference Series: Earth and Environmental Science
Volume16
Issue number1
DOIs
Publication statusPublished - 01 Jan 2013
Event26th IAHR Symposium on Hydraulic Machinery and Systems - Beijing, China
Duration: 19 Aug 201223 Aug 2012

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scent marking
predator
sensor
energy
odor
simulation

All Science Journal Classification (ASJC) codes

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

Cite this

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Energy efficient sensor nodes placement using Territorial Predator Scent Marking Algorithm (TPSMA). / Abidin, H. Z.; Md Din, Norashidah.

In: IOP Conference Series: Earth and Environmental Science, Vol. 16, No. 1, 012043, 01.01.2013.

Research output: Contribution to journalConference article

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AB - The positions of sensor nodes in a Wireless Sensor Network (WSN) must be able to provide maximum coverage with a longer lifetime. This paper proposed a sensor node placement technique that utilizes a new biologically inspired optimization technique that imitates the behavior of territorial predators in marking their territories with their odors known as Territorial Predator Scent Marking Algorithm (TPSMA). The TPSMA deployed in this paper uses the maximum coverage ratio as the objective function. The performance of the proposed technique is then compared with other schemes in terms of uniformity and average energy consumption. Simulation results show that the WSN deployed with the proposed sensor node placement scheme consumes lower energy compared to the other two schemes and is expected to provide longer lifetime.

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