Version 1
: Received: 16 December 2023 / Approved: 18 December 2023 / Online: 18 December 2023 (14:19:13 CET)
How to cite:
Tarif, M.; Nouri Moghadam, B. Enhancing Energy Efficiency of Underwater Sensor Network Routing Aiming to Achieve Reliability. Preprints2023, 2023121313. https://doi.org/10.20944/preprints202312.1313.v1
Tarif, M.; Nouri Moghadam, B. Enhancing Energy Efficiency of Underwater Sensor Network Routing Aiming to Achieve Reliability. Preprints 2023, 2023121313. https://doi.org/10.20944/preprints202312.1313.v1
Tarif, M.; Nouri Moghadam, B. Enhancing Energy Efficiency of Underwater Sensor Network Routing Aiming to Achieve Reliability. Preprints2023, 2023121313. https://doi.org/10.20944/preprints202312.1313.v1
APA Style
Tarif, M., & Nouri Moghadam, B. (2023). Enhancing Energy Efficiency of Underwater Sensor Network Routing Aiming to Achieve Reliability. Preprints. https://doi.org/10.20944/preprints202312.1313.v1
Chicago/Turabian Style
Tarif, M. and Babak Nouri Moghadam. 2023 "Enhancing Energy Efficiency of Underwater Sensor Network Routing Aiming to Achieve Reliability" Preprints. https://doi.org/10.20944/preprints202312.1313.v1
Abstract
To facilitate wireless communication, ocean exploration, and various environmental and research applications, the underwater Internet of Things has been developed with an infrastructure of acoustic sensor networks. There has been a significant increase in failures and a decrease in the efficiency of the network due to the fluid and challenging underwater environment. Consequently, achieving quality of service (QoS) in underwater networks remains a research area. Supporting QoS in underwater sensor networks is challenging due to resource limitations such as processing power, memory, bandwidth, and power sources. The purpose of this study was to examine the service quality requirements as well as protocols that have been implemented in recent years. Finally, based on quality criteria, we have presented a routing solution based on fuzzy logic, which is more efficient than other recent methods regarding energy consumption rate, JFI, efficiency, and reliability.
Keywords
Underwater; Internet of Things; Sensor Networks; QoS, Energy; Reliability
Subject
Computer Science and Mathematics, Computer Networks and Communications
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
