Staff View: Deterministic static sensor node placement in wireless sensor network based on territorial predator scent marking behavior

Deterministic static sensor node placement in wireless sensor network based on territorial predator scent marking behavior

An optimum sensor node placement mechanism for Wireless Sensor Network (WSN) is desirable in ensuring the location of sensor nodes that offers maximum coverage and connectivity with minimum energy consumption. This paper proposes a sensor node placement algorithm that utilizes a new biologically ins...

Full description

Saved in:

Bibliographic Details
Main Authors:	Abidin H.Z., Din N.M., Radzi N.A.M.
Other Authors:	52165115900
Format:	Article
Published:	2023
Subjects:	Biological inspired Connectivity Coverage Deterministic Energy Sensor node placement Wireless sensor network
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.uniten.dspace-29441
record_format	dspace
spelling	my.uniten.dspace-294412023-12-28T12:13:06Z Deterministic static sensor node placement in wireless sensor network based on territorial predator scent marking behavior Abidin H.Z. Din N.M. Radzi N.A.M. 52165115900 9335429400 57218936786 Biological inspired Connectivity Coverage Deterministic Energy Sensor node placement Wireless sensor network An optimum sensor node placement mechanism for Wireless Sensor Network (WSN) is desirable in ensuring the location of sensor nodes that offers maximum coverage and connectivity with minimum energy consumption. This paper proposes a sensor node placement algorithm that utilizes a new biologically inspired optimization algorithm that imitates the behaviour of territorial predators in marking their territories with their odours known as Territorial Predator Scent Marking Algorithm (TPSMA). The main objectives considered in this paper are to achieve maximum coverage and minimum energy consumption with guaranteed connectivity. A simulation study has been carried out to compare the performance of the proposed algorithm implemented in two different single objective approaches with an Integer Linear Programming based algorithm and another biological inspired algorithm. The proposed single objective approaches of TPSMA studied in this paper are TPSMA with minimum energy and TPSMA with maximum coverage. Simulation results show that the WSN deployed using the proposed TPSMA sensor node placement algorithm is able to arrange the sensor nodes according to the objective required; TPSMA with maximum coverage offers the highest coverage ratio with fewer sensor nodes up to 100% coverage while TPSMA with minimum energy consumption utilized the lowest energy as low as around 4.85 Joules. Full connectivity is provisioned for all TPSMA approaches since the constraint of the optimization problem is to ensure the connectivity from all sensor nodes to the sink node. Final 2023-12-28T04:13:06Z 2023-12-28T04:13:06Z 2013 Article 2-s2.0-84890219411 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84890219411&partnerID=40&md5=bb06c620363235a0718bee62e23acb7b https://irepository.uniten.edu.my/handle/123456789/29441 5 3 186 191 Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Biological inspired Connectivity Coverage Deterministic Energy Sensor node placement Wireless sensor network
spellingShingle	Biological inspired Connectivity Coverage Deterministic Energy Sensor node placement Wireless sensor network Abidin H.Z. Din N.M. Radzi N.A.M. Deterministic static sensor node placement in wireless sensor network based on territorial predator scent marking behavior
description	An optimum sensor node placement mechanism for Wireless Sensor Network (WSN) is desirable in ensuring the location of sensor nodes that offers maximum coverage and connectivity with minimum energy consumption. This paper proposes a sensor node placement algorithm that utilizes a new biologically inspired optimization algorithm that imitates the behaviour of territorial predators in marking their territories with their odours known as Territorial Predator Scent Marking Algorithm (TPSMA). The main objectives considered in this paper are to achieve maximum coverage and minimum energy consumption with guaranteed connectivity. A simulation study has been carried out to compare the performance of the proposed algorithm implemented in two different single objective approaches with an Integer Linear Programming based algorithm and another biological inspired algorithm. The proposed single objective approaches of TPSMA studied in this paper are TPSMA with minimum energy and TPSMA with maximum coverage. Simulation results show that the WSN deployed using the proposed TPSMA sensor node placement algorithm is able to arrange the sensor nodes according to the objective required; TPSMA with maximum coverage offers the highest coverage ratio with fewer sensor nodes up to 100% coverage while TPSMA with minimum energy consumption utilized the lowest energy as low as around 4.85 Joules. Full connectivity is provisioned for all TPSMA approaches since the constraint of the optimization problem is to ensure the connectivity from all sensor nodes to the sink node.
author2	52165115900
author_facet	52165115900 Abidin H.Z. Din N.M. Radzi N.A.M.
format	Article
author	Abidin H.Z. Din N.M. Radzi N.A.M.
author_sort	Abidin H.Z.
title	Deterministic static sensor node placement in wireless sensor network based on territorial predator scent marking behavior
title_short	Deterministic static sensor node placement in wireless sensor network based on territorial predator scent marking behavior
title_full	Deterministic static sensor node placement in wireless sensor network based on territorial predator scent marking behavior
title_fullStr	Deterministic static sensor node placement in wireless sensor network based on territorial predator scent marking behavior
title_full_unstemmed	Deterministic static sensor node placement in wireless sensor network based on territorial predator scent marking behavior
title_sort	deterministic static sensor node placement in wireless sensor network based on territorial predator scent marking behavior
publishDate	2023
_version_	1806423329718927360
score	13.222552

Deterministic static sensor node placement in wireless sensor network based on territorial predator scent marking behavior

Similar Items