Optimizing and Enhancing the Lifetime of a Wireless Sensor Network Using Biogeography Based Optimization

Conference paper

Ajay Kaushik, Indu, S. and Gupta, D. 2018. Optimizing and Enhancing the Lifetime of a Wireless Sensor Network Using Biogeography Based Optimization. Applications of Computing and Communication Technologies First International Conference, ICACCT 2018. Springer. https://doi.org/10.1007/978-981-13-2035-4_23
AuthorsAjay Kaushik, Indu, S. and Gupta, D.
TypeConference 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.

Keywordscomputer science ; wireless sensor network; Biogeography Based Optimization
Year2018
ConferenceApplications of Computing and Communication Technologies First International Conference, ICACCT 2018
JournalCommunications in Computer and Information Science
PublisherSpringer
ISSN1865-0929
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 citationpp. 260-272
ISBN9789811320347
9789811320354
Output statusPublished
Publication dates30 Aug 2018
Publication process dates
Deposited10 Jul 2024
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