Time Threshold- Based Energy Efficient Routing Protocol for Underwater Sensor Networks

Bhatti A, Rehman T, Mahmood K, Ali M, Umar Z, Rehman A, Ahmed S (2023)


Publication Type: Journal article

Publication year: 2023

Journal

Book Volume: 5

Pages Range: 250-261

Journal Issue: 2

Abstract

Wireless Sensor Networks (WSNs) have potential in monitoring oceanic situations through remote data collection and exchange. Underwater Wireless Sensor Networks (UWSNs) are built for monitoring ocean currents, temperature, port security and armed monitoring. This study investi­gates UWSN architecture, characteristics, network protocols and applications, focusing on the en­ergy-efficient routing protocols such as EEDOR, LFEER, Co-LFEER, DBR, Co-DBR, and our pro­posed Holding Sending Time Depth Base Routing (HSTDBR) protocol is comprised on five simula­tion parameters, including energy consumption, packet delivery ratio, transmission loss, number of alive nodes, and end-to-end delay, are considered. Results show that HSTDBR outperforms Co-DBR with a lower transmission loss, higher number of alive nodes, lower energy consumption, higher packet delivery ratio, and lower end-to-end delay. This study highlights the challenges and current research directions in UWSNs. The text discusses various metrics related to a proposed protocol for underwater sensor networks, including transmission loss, number of alive nodes, energy consump­tion, packet delivery ratio, and end-to-end delay. It notes improvements in some areas but challenges in others. The overall topic of the text is the difficulties faced by researchers in developing and im­plementing underwater sensor networks, and it provides a review of current research in this area.

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How to cite

APA:

Bhatti, A., Rehman, T., Mahmood, K., Ali, M., Umar, Z., Rehman, A., & Ahmed, S. (2023). Time Threshold- Based Energy Efficient Routing Protocol for Underwater Sensor Networks. Journal of Computing and Biomedical Informatics, 5(2), 250-261.

MLA:

Bhatti, Aqeel, et al. "Time Threshold- Based Energy Efficient Routing Protocol for Underwater Sensor Networks." Journal of Computing and Biomedical Informatics 5.2 (2023): 250-261.

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