Research Article
Battery Recovery Based Lifetime Enhancement with Temperature Dependance (BRLE-T) for Wireless Sensor Network
@INPROCEEDINGS{10.4108/eai.7-12-2021.2314543, author={V Mahima and A Chitra}, title={Battery Recovery Based Lifetime Enhancement with Temperature Dependance (BRLE-T) for Wireless Sensor Network}, proceedings={Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India}, publisher={EAI}, proceedings_a={ICCAP}, year={2021}, month={12}, keywords={recovery effect energy management wireless sensor networks}, doi={10.4108/eai.7-12-2021.2314543} }- V Mahima
A Chitra
Year: 2021
Battery Recovery Based Lifetime Enhancement with Temperature Dependance (BRLE-T) for Wireless Sensor Network
ICCAP
EAI
DOI: 10.4108/eai.7-12-2021.2314543
Abstract
The Sensor nodes are battery-powered which limits their energy capacity due to their inability to be recharged. As a result, the significant bottleneck in designing a protocol is energy consumption. For accuracy of results, the design must balance the life-time of the network and other parameters. Sensor networks should be adaptable and sensitive to the changing environment in which they operate. The influence of temperature on battery recovery is analysed in proposed Battery Recovery based Lifetime Enhancement with Temperature dependence (BRLE-T) algorithm. The BRLE-T algorithm proposed is compared with LEACH-C and SEP-M routing protocols to showcase its performance. The survivability of the nodes is higher for BRLE-T when compared with SEP-M and LEACH-C algorithms. The LEACH-C algorithm survives for about 1450 rounds approximately and SEP-M algorithm survives for around 1500 rounds approximately. The proposed BRLE-T algorithm survives for around 1650 rounds which is 1.1 times higher than compared algorithms. The proposed BRLE-T algorithm provides better energy management in varying temperature environments.
