An improved routing mechanism using bio-inspired for energy balancing in wireless sensor networks
Planning of energy-efficient protocols is critical for wireless sensor networks (WSNs) because of the constraints on sensor node's energy. Therefore, the routing protocol should be able to achieve uniform power dissipation during transmission to the sink node. In this paper, we present a self-o...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2012
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| Online Access: | http://psasir.upm.edu.my/id/eprint/68344/ http://psasir.upm.edu.my/id/eprint/68344/1/An%20improved%20routing%20mechanism%20using%20bio-inspired%20for%20energy%20balancing%20in%20wireless%20sensor%20networks.pdf |
| _version_ | 1848856100572495872 |
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| author | Almshreqi, Ahmed M. Shamsan Mohd Ali, Borhanuddin A. Rasid, Mohd Fadlee Ismail, Alyani Varahram, Pooria |
| author_facet | Almshreqi, Ahmed M. Shamsan Mohd Ali, Borhanuddin A. Rasid, Mohd Fadlee Ismail, Alyani Varahram, Pooria |
| author_sort | Almshreqi, Ahmed M. Shamsan |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Planning of energy-efficient protocols is critical for wireless sensor networks (WSNs) because of the constraints on sensor node's energy. Therefore, the routing protocol should be able to achieve uniform power dissipation during transmission to the sink node. In this paper, we present a self-optimization scheme for WSN which is able to utilize and optimize the sensor nodes' resources, especially the batteries, to achieve balanced energy consumption across all sensors. This method is based on Ant Colony Optimization (ACO) meta heuristic which is adopted to enhance the paths with the best quality function. The assessment of this function depends on multi-criteria metrics such as the minimum residual battery power, hop numbers and average energy of both route and network. This method also distribute the traffic load of sensor nodes throughout the WSN leading to reduced energy usage, extended network life time and reduced packet loss. Simulation results show that our scheme performs much better than Energy Efficient Ant-Based Routing (EEABR) in terms of energy consumption and efficiency. |
| first_indexed | 2025-11-15T11:36:17Z |
| format | Conference or Workshop Item |
| id | upm-68344 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:36:17Z |
| publishDate | 2012 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-683442019-05-10T08:32:02Z http://psasir.upm.edu.my/id/eprint/68344/ An improved routing mechanism using bio-inspired for energy balancing in wireless sensor networks Almshreqi, Ahmed M. Shamsan Mohd Ali, Borhanuddin A. Rasid, Mohd Fadlee Ismail, Alyani Varahram, Pooria Planning of energy-efficient protocols is critical for wireless sensor networks (WSNs) because of the constraints on sensor node's energy. Therefore, the routing protocol should be able to achieve uniform power dissipation during transmission to the sink node. In this paper, we present a self-optimization scheme for WSN which is able to utilize and optimize the sensor nodes' resources, especially the batteries, to achieve balanced energy consumption across all sensors. This method is based on Ant Colony Optimization (ACO) meta heuristic which is adopted to enhance the paths with the best quality function. The assessment of this function depends on multi-criteria metrics such as the minimum residual battery power, hop numbers and average energy of both route and network. This method also distribute the traffic load of sensor nodes throughout the WSN leading to reduced energy usage, extended network life time and reduced packet loss. Simulation results show that our scheme performs much better than Energy Efficient Ant-Based Routing (EEABR) in terms of energy consumption and efficiency. IEEE 2012 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68344/1/An%20improved%20routing%20mechanism%20using%20bio-inspired%20for%20energy%20balancing%20in%20wireless%20sensor%20networks.pdf Almshreqi, Ahmed M. Shamsan and Mohd Ali, Borhanuddin and A. Rasid, Mohd Fadlee and Ismail, Alyani and Varahram, Pooria (2012) An improved routing mechanism using bio-inspired for energy balancing in wireless sensor networks. In: International Conference on Information Networking 2012 (ICOIN 2012), 1-3 Feb. 2012, The Patra Bali Resort & Villas, Bali, Indonesia. (pp. 150-153). 10.1109/ICOIN.2012.6164367 |
| spellingShingle | Almshreqi, Ahmed M. Shamsan Mohd Ali, Borhanuddin A. Rasid, Mohd Fadlee Ismail, Alyani Varahram, Pooria An improved routing mechanism using bio-inspired for energy balancing in wireless sensor networks |
| title | An improved routing mechanism using bio-inspired for energy balancing in wireless sensor networks |
| title_full | An improved routing mechanism using bio-inspired for energy balancing in wireless sensor networks |
| title_fullStr | An improved routing mechanism using bio-inspired for energy balancing in wireless sensor networks |
| title_full_unstemmed | An improved routing mechanism using bio-inspired for energy balancing in wireless sensor networks |
| title_short | An improved routing mechanism using bio-inspired for energy balancing in wireless sensor networks |
| title_sort | improved routing mechanism using bio-inspired for energy balancing in wireless sensor networks |
| url | http://psasir.upm.edu.my/id/eprint/68344/ http://psasir.upm.edu.my/id/eprint/68344/ http://psasir.upm.edu.my/id/eprint/68344/1/An%20improved%20routing%20mechanism%20using%20bio-inspired%20for%20energy%20balancing%20in%20wireless%20sensor%20networks.pdf |