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Minimum energy transmission forest‐based geocast in software‐defined wireless sensor networks
Author(s) -
Banerjee Anuradha,
Sufian Abu,
Sadiq Ali Safaa,
Mirjalili Seyedali
Publication year - 2021
Publication title -
transactions on emerging telecommunications technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.366
H-Index - 47
ISSN - 2161-3915
DOI - 10.1002/ett.4253
Subject(s) - computer network , flooding (psychology) , network packet , computer science , geocast , wireless sensor network , routing protocol , redundancy (engineering) , data redundancy , real time computing , distributed computing , dynamic source routing , psychology , psychotherapist , operating system
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 of the nodes. Moreover, perimeter flooding cannot succeed in the presence of holes. The present article models WSN with software‐defined (SD) 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. Besides, this study introduces a fuzzy controllers named SELECT‐STARTER and GEOCAST‐PROPAGATOR for intellgent energy tansmission control‐making. The 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.