Minimum energy transmission forest-based Geocast in software-defined wireless sensor networks
Abstract
Wireless Sensor Networks (WSNs)-based geographic addressing and routing have many potential applications. Geocast protocols should be made energy efficient to increase the lifetime of nodes and packet delivery ratio. This technique will increase the number of live nodes, reduce message costs, and enhance network throughput. All geocast protocols in the literature of WSN apply mostly restricted flooding and perimeter flooding, which is why still the redundancy they produce significantly high message transmission costs and unnecessarily eats up immense energy in nodes. Moreover, perimeter flooding cannot succeed in the presence of holes. The present article models wireless sensor networks with software-defined constructs where the network area is divided into some zones. Energy-efficient transmission tree(s) are constructed in the geocast area to organize the flow of data packets and their links. Therefore, redundancy in the transmission is eliminated while maintaining network throughput as good as regular flooding. This proposed technique significantly reduces energy cost and improves nodes' lifetime to function for higher time duration and produce a higher data packet delivery ratio. To the best of the author's knowledge, this is the first work on geocast in SD-WSNs.Citation
Banerjee, A., Sufian, A., Sadiq, A.S. and Mirjalili, S. (2021) Minimum energy transmission forest-based Geocast in software-defined wireless sensor networks. Transactions on Emerging Telecommunications Technologies, 32(9), e4253. https://doi.org/10.1002/ett.4253Publisher
WileyJournal
Transactions on Emerging Telecommunications TechnologiesDOI
10.1002/ett.4253Additional Links
https://onlinelibrary.wiley.com/doi/10.1002/ett.4253Type
Journal articleLanguage
enDescription
© 2021 The Authors. Published by Wiley. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.1002/ett.4253ISSN
2161-3915ae974a485f413a2113503eed53cd6c53
10.1002/ett.4253
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Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/