Document Type

Journal Article

Publication Title

IEEE Sensors Journal

Publisher

IEEE

School

School of Engineering

RAS ID

52087

Comments

This is an authors accepted manuscript version of an article published by IEEE in IEEE Sensor Journal. The Version of Record can be found here: https://doi.org/10.1109/JSEN.2022.3186032

© 2022 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.

Islam, K. Y., Ahmad, I., Habibi, D., Jin, J., & Waqas, M. (2022). Lifetime maximization in underwater wireless communication networks. IEEE Sensors Journal, 22(15), 15549-15560. https://doi.org/10.1109/JSEN.2022.3186032

Abstract

The rise in demand for underwater wireless communication networks (UWCN) has been driven by the emergence of new applications including unmanned underwater vehicles, deep-sea exploration, maritime and underwater archaeology research, and diver communications. For various applications, underwater network lifetime must be long, since unlike terrestrial sensor networks, it is a major job to change/recharge node batteries in underwater environments. In this paper, we introduce a solution where critical nodes in a UWCN are periodically recharged by small renewable energy sources. Further, a caching mechanism is introduced to relieve critical nodes of heavy workload when their residual energies run low. By leveraging these two techniques of energy replenishment and content-caching, the network lifetime extension challenge is formulated as an optimization problem. The results indicate that our proposed solution offers up to 45% longer UWCN lifetime compared to existing solutions.

DOI

10.1109/JSEN.2022.3186032

Available for download on Thursday, August 01, 2024

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