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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...

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Main Authors: Almshreqi, Ahmed M. Shamsan, Mohd Ali, Borhanuddin, A. Rasid, Mohd Fadlee, Ismail, Alyani, Varahram, Pooria
Format: Conference or Workshop Item
Language:English
Published: IEEE 2012
Online Access:http://psasir.upm.edu.my/id/eprint/68344/1/An%20improved%20routing%20mechanism%20using%20bio-inspired%20for%20energy%20balancing%20in%20wireless%20sensor%20networks.pdf
http://psasir.upm.edu.my/id/eprint/68344/
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spelling my.upm.eprints.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
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
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.
format Conference or Workshop Item
author Almshreqi, Ahmed M. Shamsan
Mohd Ali, Borhanuddin
A. Rasid, Mohd Fadlee
Ismail, Alyani
Varahram, Pooria
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
author_facet Almshreqi, Ahmed M. Shamsan
Mohd Ali, Borhanuddin
A. Rasid, Mohd Fadlee
Ismail, Alyani
Varahram, Pooria
author_sort Almshreqi, Ahmed M. Shamsan
title 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_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_sort improved routing mechanism using bio-inspired for energy balancing in wireless sensor networks
publisher IEEE
publishDate 2012
url http://psasir.upm.edu.my/id/eprint/68344/1/An%20improved%20routing%20mechanism%20using%20bio-inspired%20for%20energy%20balancing%20in%20wireless%20sensor%20networks.pdf
http://psasir.upm.edu.my/id/eprint/68344/
_version_ 1643839173471240192
score 13.211869

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