Ant colony optimization approaches in wireless sensor network: Performance evaluation
Wireless Sensor Network (WSN) has been widely implemented in large sectors such as military, habitat, business, industrial, health and environment. WSN is part of a distributed system where elements such as routing, load balancing, energy efficiency, node localization, time synchronization, data a...
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| Format: | Article |
| Language: | English |
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Science Publications
2017
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| Online Access: | https://repo.uum.edu.my/id/eprint/27401/1/JCS%2013%206%202017%20153%20164.pdf |
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| author | Abdul Nasir, Husna Jamal Ku-Mahamud, Ku Ruhana Kamioka, Eiji |
| author_facet | Abdul Nasir, Husna Jamal Ku-Mahamud, Ku Ruhana Kamioka, Eiji |
| author_sort | Abdul Nasir, Husna Jamal |
| collection | UUM |
| description | Wireless Sensor Network (WSN) has been widely implemented in large sectors such as military, habitat, business, industrial, health and
environment. WSN is part of a distributed system where elements such as routing, load balancing, energy efficiency, node localization, time
synchronization, data aggregation and security need to be addressed to improve its efficiency, robustness, extendibility, applicability and reliability. Despite multiple approaches proposed to improve all these aspects, there is still room
for improvement in order to enhance the capability of WSN in terms of routing and energy efficiency. Ant Colony Optimization (ACO) is one of the
approaches used to extend WSN capabilities because its heuristic nature is very suitable with distributed and dynamic environments. This study covers the common WSN aspects and performance evaluation criteria in addition to the list of previous studies that have used ACO approaches in WSN. |
| first_indexed | 2024-07-04T06:35:34Z |
| format | Article |
| id | uum-27401 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:35:34Z |
| publishDate | 2017 |
| publisher | Science Publications |
| record_format | dspace |
| spelling | uum-274012020-11-15T01:35:13Z https://repo.uum.edu.my/id/eprint/27401/ Ant colony optimization approaches in wireless sensor network: Performance evaluation Abdul Nasir, Husna Jamal Ku-Mahamud, Ku Ruhana Kamioka, Eiji QA75 Electronic computers. Computer science Wireless Sensor Network (WSN) has been widely implemented in large sectors such as military, habitat, business, industrial, health and environment. WSN is part of a distributed system where elements such as routing, load balancing, energy efficiency, node localization, time synchronization, data aggregation and security need to be addressed to improve its efficiency, robustness, extendibility, applicability and reliability. Despite multiple approaches proposed to improve all these aspects, there is still room for improvement in order to enhance the capability of WSN in terms of routing and energy efficiency. Ant Colony Optimization (ACO) is one of the approaches used to extend WSN capabilities because its heuristic nature is very suitable with distributed and dynamic environments. This study covers the common WSN aspects and performance evaluation criteria in addition to the list of previous studies that have used ACO approaches in WSN. Science Publications 2017 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/27401/1/JCS%2013%206%202017%20153%20164.pdf Abdul Nasir, Husna Jamal and Ku-Mahamud, Ku Ruhana and Kamioka, Eiji (2017) Ant colony optimization approaches in wireless sensor network: Performance evaluation. Journal of Computer Science, 13 (6). 153 -164. ISSN 1549-3636 https://thescipub.com/abstract/jcssp.2017.153.164 |
| spellingShingle | QA75 Electronic computers. Computer science Abdul Nasir, Husna Jamal Ku-Mahamud, Ku Ruhana Kamioka, Eiji Ant colony optimization approaches in wireless sensor network: Performance evaluation |
| title | Ant colony optimization approaches in wireless sensor
network: Performance evaluation |
| title_full | Ant colony optimization approaches in wireless sensor
network: Performance evaluation |
| title_fullStr | Ant colony optimization approaches in wireless sensor
network: Performance evaluation |
| title_full_unstemmed | Ant colony optimization approaches in wireless sensor
network: Performance evaluation |
| title_short | Ant colony optimization approaches in wireless sensor
network: Performance evaluation |
| title_sort | ant colony optimization approaches in wireless sensor network performance evaluation |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/27401/1/JCS%2013%206%202017%20153%20164.pdf |
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