Battery Recovery Based Lifetime Enhancement (BRLE) Algorithm for Wireless Sensor Network

Battery Recovery Based Lifetime Enhancement (BRLE) Algorithm for Wireless Sensor Network Increasing the lifetime of the network and utilizing the resources to its maximum limit is the major issue in Wireless Sensor Network (WSN). The wireless sensor nodes in sensor network are powered using rechargeable batteries. However, providing energy to nodes in the remote environment is a major issue in WSN. Hence WSN needs a new energy efficient algorithm to enhance the network lifetime. In a sensor node, the transceiving module consumes more energy when compared to other modules. In this paper, a Battery Recovery based Lifetime Enhancement (BRLE) algorithm is discussed, which considers battery voltage curve for scheduling the transceiving module of the sensor nodes. The Markov model helps in determining the state of the sensor node as CH and CM based on battery recovery process. By scheduling the transceiving module based on the battery terminal voltage, recovery factor and distance between the nodes, the lifetime of the network is enhanced. Experimental results show that the algorithm outperforms the others by 1.38 times increased lifetime and 1.574 times increased throughput. The BRLE decreases the HOT SPOT and energy hole problem, avoiding loss in connectivity with the sink. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Wireless Personal Communications Springer Journals

Battery Recovery Based Lifetime Enhancement (BRLE) Algorithm for Wireless Sensor Network

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Publisher
Springer Journals
Copyright
Copyright © 2017 by Springer Science+Business Media, LLC
Subject
Engineering; Communications Engineering, Networks; Signal,Image and Speech Processing; Computer Communication Networks
ISSN
0929-6212
eISSN
1572-834X
D.O.I.
10.1007/s11277-017-4854-3
Publisher site
See Article on Publisher Site

Abstract

Increasing the lifetime of the network and utilizing the resources to its maximum limit is the major issue in Wireless Sensor Network (WSN). The wireless sensor nodes in sensor network are powered using rechargeable batteries. However, providing energy to nodes in the remote environment is a major issue in WSN. Hence WSN needs a new energy efficient algorithm to enhance the network lifetime. In a sensor node, the transceiving module consumes more energy when compared to other modules. In this paper, a Battery Recovery based Lifetime Enhancement (BRLE) algorithm is discussed, which considers battery voltage curve for scheduling the transceiving module of the sensor nodes. The Markov model helps in determining the state of the sensor node as CH and CM based on battery recovery process. By scheduling the transceiving module based on the battery terminal voltage, recovery factor and distance between the nodes, the lifetime of the network is enhanced. Experimental results show that the algorithm outperforms the others by 1.38 times increased lifetime and 1.574 times increased throughput. The BRLE decreases the HOT SPOT and energy hole problem, avoiding loss in connectivity with the sink.

Journal

Wireless Personal CommunicationsSpringer Journals

Published: Aug 17, 2017

References

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