IEEE Sensors Journal
School of Engineering
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.
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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
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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.