Optimizing and Enhancing the Lifetime of a Wireless Sensor Network Using Biogeography Based Optimization
Conference paper
Authors | Ajay Kaushik, Indu, S. and Gupta, D. |
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Type | Conference paper |
Abstract | Wireless sensor networks (WSNs) contain tiny sensor nodes which are operated battery and have a limited lifetime. Improving the network lifetime of a WSN by optimal battery usage is an area investigated by many researchers in the past. In this work we propose a new nature-inspired technique Biography based optimization for energy efficient clustering (BBO-C) in a WSN. BBO-C takes into account novel parameters like minimization of Cluster Head (CH) energy dissipation and the transmission distance between both sensor nodes to CH and sink to CH which results in better distribution of sensors and a well-balanced clustering system, thus enhancing the network lifetime of a WSN. BBO-C is simulated using Matlab and provide very good results in terms of network lifetime, packets sent to the base station and load distribution. BBO-C outperforms past works like PSO based clustering, GLBCA, GA and LDC by 38.2%, 53.6%, 58.8% and 62.2% respectively. |
Keywords | computer science ; wireless sensor network; Biogeography Based Optimization |
Year | 2018 |
Conference | Applications of Computing and Communication Technologies First International Conference, ICACCT 2018 |
Journal | Communications in Computer and Information Science |
Publisher | Springer |
ISSN | 1865-0929 |
1865-0937 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-981-13-2035-4_23 |
Web address (URL) | http://dx.doi.org/10.1007/978-981-13-2035-4_23 |
Journal citation | pp. 260-272 |
ISBN | 9789811320347 |
9789811320354 | |
Output status | Published |
Publication dates | 30 Aug 2018 |
Publication process dates | |
Deposited | 10 Jul 2024 |
https://repository.derby.ac.uk/item/q7432/optimizing-and-enhancing-the-lifetime-of-a-wireless-sensor-network-using-biogeography-based-optimization
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