Adaptive Mobile Sink for Energy Efficient WSN Using Biogeography-Based Optimization

Journal article

Ajay Kaushik, Indu, S. and Gupta, D. 2019. Adaptive Mobile Sink for Energy Efficient WSN Using Biogeography-Based Optimization. International Journal of Mobile Computing and Multimedia Communications. 10 (3), pp. 1-22. https://doi.org/10.4018/ijmcmc.2019070101
AuthorsAjay Kaushik, Indu, S. and Gupta, D.
Abstract

Early death of cluster heads (CHs) located near the sink due to excessive data relay load causes energy holes in wireless sensor networks (WSNs). A widely adopted solution to energy hole problem is to divide the deployment region into multiple sub regions and use mobile sink (MS) to aggregate data from each sub-region. However, inside a sub-region, CHs close to MS dissipate their energy quickly and die despite of the sink mobility. The authors map the problem of distributing data relay load optimally to multiple CHs and locating MS near these multiple CHs using metaheuristic algorithm biogeography-based optimization (BBO). Furthermore, there is a need of optimum routing of data to the MS inside each sub-region of a MS WSN. Proposed mobile sink distributed load routing algorithm (MSDR-BBO) selects the optimum routing CHs in MS WSN as per data transfer requirements of sensor nodes (SNs) and CHs. MSDR-BBO is validated using Matlab simulation as well as Netsim emulator, and it outperforms latest MS WSN algorithms like nested routing, SENMA, and CMS2TO by 4.6%, 11.7%, and 17.4%, respectively.

KeywordsEarly death of cluster heads (CHs); wireless sensor networks (WSNs); mobile sink (MS)
Year2019
JournalInternational Journal of Mobile Computing and Multimedia Communications
Journal citation10 (3), pp. 1-22
PublisherIGI Global
ISSN1937-9412
1937-9404
Digital Object Identifier (DOI)https://doi.org/10.4018/ijmcmc.2019070101
Web address (URL)http://dx.doi.org/10.4018/ijmcmc.2019070101
Output statusPublished
Publication dates01 Jul 2019
Publication process dates
Deposited10 Jul 2024
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