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EHA-BeeSensor: Hybrid Protocol for Energy Proficient Routing in IoT Network using Swarm Intelligence

Nasir, A., Qureshi, H. K., Ullah, I. & Rajarajan, M. ORCID: 0000-0001-5814-9922 (2021). EHA-BeeSensor: Hybrid Protocol for Energy Proficient Routing in IoT Network using Swarm Intelligence. 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), ISSN 2378-4865 doi: 10.1109/CAMAD52502.2021.9617777


Modern communication technologies, Internet protocols, tiny intelligence devices, Cloud/Fog computing have enabled the IoT explosion which will revolutionize the world we live in. IoT devices are mostly battery powered and hence their life mainly depends on their battery power. Energy harvesting is a viable alternative which can actually achieve a near-infinite lifetime for such wireless battery powered nodes. In this paper, we investigate the impact of energy-harvesting feature in IoT network. We extend the existing design of BeeSensor routing protocol, a Swarm Intelligence (SI) based protocol, by adding energy harvesting capabilities to network nodes. We then perform empirical evaluations of the extended version, EHA-BeeSensor and compare its performance with the existing protocols. The results show that EHA-BeeSensor not only achieves near-infinite network lifetime, it also performs better in terms of packet delivery ratio, latency and routing overhead.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publisher Keywords: IoT; WSN; Energy Harvesting; Swarm Intelligence; BeeSensor
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments: School of Science & Technology > Engineering
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