WSN sensor node placement approach using Territorial Predator Scent Marking Algorithm (TPSMA)
Optimum sensor node placement for Wireless Sensor Network (WSN) is needed for cost effective deployment that provides maximum coverage and minimum energy consumption without jeopardizing the connectivity. A sensor node placement technique that utilizes a new biologically inspired optimization techni...
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IEEE Computer Society
2023
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| _version_ | 1833410814978031616 |
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| author | Abidin H.Z. Din N.M. |
| author2 | 52165115900 |
| author_facet | 52165115900 Abidin H.Z. Din N.M. |
| author_sort | Abidin H.Z. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Optimum sensor node placement for Wireless Sensor Network (WSN) is needed for cost effective deployment that provides maximum coverage and minimum energy consumption without jeopardizing the connectivity. 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 odours known as Territorial Predator Scent Marking Algorithm (TPSMA) is proposed in this paper. The TPSMA deployed in this paper uses the minimum uncovered area as the objective function. The performance of the proposed technique is then compared with other two sensor node placement schemes that are based on Integer Linear Programming (ILP) in terms of coverage ratio, connectivity and energy consumption. Simulation results show that the WSN deployed with the proposed sensor node placement scheme outperforms the other two schemes with larger coverage ratio, full connectivity and lower energy consumption. � 2013 IEEE. |
| format | Conference paper |
| id | my.uniten.dspace-29362 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | IEEE Computer Society |
| record_format | dspace |
| spelling | my.uniten.dspace-293622023-12-28T12:12:46Z WSN sensor node placement approach using Territorial Predator Scent Marking Algorithm (TPSMA) Abidin H.Z. Din N.M. 52165115900 9335429400 biological inspired connectivity coverage energy Sensor node placement Territorial Predator Scent Marking Algorithm WSN Algorithms Bioinformatics Energy utilization Integer programming biological inspired connectivity coverage energy Marking algorithm Sensor node placement WSN Sensor nodes Optimum sensor node placement for Wireless Sensor Network (WSN) is needed for cost effective deployment that provides maximum coverage and minimum energy consumption without jeopardizing the connectivity. 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 odours known as Territorial Predator Scent Marking Algorithm (TPSMA) is proposed in this paper. The TPSMA deployed in this paper uses the minimum uncovered area as the objective function. The performance of the proposed technique is then compared with other two sensor node placement schemes that are based on Integer Linear Programming (ILP) in terms of coverage ratio, connectivity and energy consumption. Simulation results show that the WSN deployed with the proposed sensor node placement scheme outperforms the other two schemes with larger coverage ratio, full connectivity and lower energy consumption. � 2013 IEEE. Final 2023-12-28T04:12:46Z 2023-12-28T04:12:46Z 2013 Conference paper 10.1109/MICC.2013.6805791 2-s2.0-84901276985 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901276985&doi=10.1109%2fMICC.2013.6805791&partnerID=40&md5=e3562f608398e3a7da416d7baa6efdb9 https://irepository.uniten.edu.my/handle/123456789/29362 6805791 13 17 IEEE Computer Society Scopus |
| spellingShingle | biological inspired connectivity coverage energy Sensor node placement Territorial Predator Scent Marking Algorithm WSN Algorithms Bioinformatics Energy utilization Integer programming biological inspired connectivity coverage energy Marking algorithm Sensor node placement WSN Sensor nodes Abidin H.Z. Din N.M. WSN sensor node placement approach using Territorial Predator Scent Marking Algorithm (TPSMA) |
| title | WSN sensor node placement approach using Territorial Predator Scent Marking Algorithm (TPSMA) |
| title_full | WSN sensor node placement approach using Territorial Predator Scent Marking Algorithm (TPSMA) |
| title_fullStr | WSN sensor node placement approach using Territorial Predator Scent Marking Algorithm (TPSMA) |
| title_full_unstemmed | WSN sensor node placement approach using Territorial Predator Scent Marking Algorithm (TPSMA) |
| title_short | WSN sensor node placement approach using Territorial Predator Scent Marking Algorithm (TPSMA) |
| title_sort | wsn sensor node placement approach using territorial predator scent marking algorithm (tpsma) |
| topic | biological inspired connectivity coverage energy Sensor node placement Territorial Predator Scent Marking Algorithm WSN Algorithms Bioinformatics Energy utilization Integer programming biological inspired connectivity coverage energy Marking algorithm Sensor node placement WSN Sensor nodes |
| url_provider | http://dspace.uniten.edu.my/ |