Reinforcement Learning based Routing Protocol for Underwater Acoustic Wireless Sensor Network
S. Ponlatha
, V.Pavithra , D.Chitra
This paper focuses on Underwater wireless sensor networks (UWSNs) have emerged as a promising networking technology owing to their various underwater applications. Many applications require sensed data to be routed to a centralized location. However, the routing of sensor networks in underwater environments presents several challenges in terms of underwater infrastructure, including high energy consumption, narrow bandwidths, and longer propagation delays than other sensor networks. Efficient routing protocols play a vital role in this regard. Recently, reinforcement learning (RL)-based routing algorithms have been investigated by different researchers seeking to exploit the learning procedure via trial-and-error methods of RL. RL algorithms are capable of operating in underwater environments without prior knowledge of the infrastructure.
"Reinforcement Learning based Routing Protocol for Underwater Acoustic Wireless Sensor Network", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 1, page no.169 - 173, January-2023, Available :https://ijsdr.org/papers/IJSDR2301027.pdf
Volume 8
Issue 1,
January-2023
Pages : 169 - 173
Paper Reg. ID: IJSDR_203389
Published Paper Id: IJSDR2301027
Downloads: 000347218
Research Area: Engineering
Country: Namakkal, Tamilnadu, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
