A self-optimizing scheme for energy balanced routing in wireless sensor networks using SensorAnt
Planning of energy-efficient protocols is critical for Wireless Sensor Networks (WSNs) because of the constraints on the sensor nodes’ energy. The routing protocol should be able to provide uniform power dissipation during transmission to the sink node. In this paper, we present a self-optimization...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI
2012
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| Online Access: | http://psasir.upm.edu.my/id/eprint/78011/ http://psasir.upm.edu.my/id/eprint/78011/1/78011.pdf |
| _version_ | 1848858388267532288 |
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| author | Saleh, Ahmed Mohammed Shamsan Mohd Ali, Borhanuddin A. Rasid, Mohd Fadlee Ismail, Alyani |
| author_facet | Saleh, Ahmed Mohammed Shamsan Mohd Ali, Borhanuddin A. Rasid, Mohd Fadlee Ismail, Alyani |
| author_sort | Saleh, Ahmed Mohammed 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 the sensor nodes’ energy. The routing protocol should be able to provide uniform power dissipation during transmission to the sink node. In this paper, we present a self-optimization scheme for WSNs which is able to utilize and optimize the sensor nodes’ resources, especially the batteries, to achieve balanced energy consumption across all sensor nodes. This method is based on the Ant Colony Optimization (ACO) metaheuristic 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 count and average energy of both route and network. This method also distributes 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 the Energy Efficient Ant-Based Routing (EEABR) in terms of energy consumption, balancing and efficiency. |
| first_indexed | 2025-11-15T12:12:39Z |
| format | Article |
| id | upm-78011 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:12:39Z |
| publishDate | 2012 |
| publisher | MDPI |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-780112020-06-02T00:35:20Z http://psasir.upm.edu.my/id/eprint/78011/ A self-optimizing scheme for energy balanced routing in wireless sensor networks using SensorAnt Saleh, Ahmed Mohammed Shamsan Mohd Ali, Borhanuddin A. Rasid, Mohd Fadlee Ismail, Alyani Planning of energy-efficient protocols is critical for Wireless Sensor Networks (WSNs) because of the constraints on the sensor nodes’ energy. The routing protocol should be able to provide uniform power dissipation during transmission to the sink node. In this paper, we present a self-optimization scheme for WSNs which is able to utilize and optimize the sensor nodes’ resources, especially the batteries, to achieve balanced energy consumption across all sensor nodes. This method is based on the Ant Colony Optimization (ACO) metaheuristic 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 count and average energy of both route and network. This method also distributes 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 the Energy Efficient Ant-Based Routing (EEABR) in terms of energy consumption, balancing and efficiency. MDPI 2012 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/78011/1/78011.pdf Saleh, Ahmed Mohammed Shamsan and Mohd Ali, Borhanuddin and A. Rasid, Mohd Fadlee and Ismail, Alyani (2012) A self-optimizing scheme for energy balanced routing in wireless sensor networks using SensorAnt. Sensors, 12 (8). pp. 11307-11333. ISSN 1424-8220 https://www.mdpi.com/1424-8220/12/8/11307 10.3390/s120811307 |
| spellingShingle | Saleh, Ahmed Mohammed Shamsan Mohd Ali, Borhanuddin A. Rasid, Mohd Fadlee Ismail, Alyani A self-optimizing scheme for energy balanced routing in wireless sensor networks using SensorAnt |
| title | A self-optimizing scheme for energy balanced routing in wireless sensor networks using SensorAnt |
| title_full | A self-optimizing scheme for energy balanced routing in wireless sensor networks using SensorAnt |
| title_fullStr | A self-optimizing scheme for energy balanced routing in wireless sensor networks using SensorAnt |
| title_full_unstemmed | A self-optimizing scheme for energy balanced routing in wireless sensor networks using SensorAnt |
| title_short | A self-optimizing scheme for energy balanced routing in wireless sensor networks using SensorAnt |
| title_sort | self-optimizing scheme for energy balanced routing in wireless sensor networks using sensorant |
| url | http://psasir.upm.edu.my/id/eprint/78011/ http://psasir.upm.edu.my/id/eprint/78011/ http://psasir.upm.edu.my/id/eprint/78011/ http://psasir.upm.edu.my/id/eprint/78011/1/78011.pdf |