Analysis of Power, Security and Routing Factors In Underwater Wireless Sensor Network (UWSN)

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Published Nov 18, 2024

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Ms. T. Baby
Assistant Professor, Department of Computer Applications, Navarasam Arts and Science College for Women, Erode - 638101.
Dr. P. Nirmaladevi
Assistant Professor, Department of Computer Applications, Nandha Arts and Science College, Erode - 638052.

Abstract

Underwater wireless sensor network (UWSN) is currently a hot research field. However, UWSNs suffer from various limitations and challenges: high ocean interference and noise, high propagation delay, narrow bandwidth, dynamic network topology, and limited battery energy of sensor nodes. The design of routing protocols is one of the solutions to address these issues. A routing protocol can efficiently transfer the data from the source node to the destination node in the network. The Proposed Study Analyzed the different factors of Underwater Wireless Sensor Networks are visualized as little power unnatural devices, which might be scattered over a vicinity of interest, to modify observation of that region for associate extended amount of your time. The device devices are visualized to be capable of forming associate autonomous wireless network, over that perceived information will be delivered to such as set of destinations. This work considers a Underwater Wireless Sensor Network and addresses the matter of minimizing power consumption in every device node domestically whereas guaranteeing two international (i.e., network wide) properties: (i) communication property, and (ii) sensing coverage. A Sensor node saves energy by suspending its sensing and communication activities in keeping with a weighted honest programming model. The study presents a model and its resolution for steady state distributions to work out the capability of various researches. Given the steady state chances, we have a tendency to construct a non-linear optimization downside to reduce the ability consumption. Simulation studies to look at the collective behavior of huge variety of device nodes manufacture results that are expected by the analytical model.

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Issue
Vol 11 No 11 (2024): Volume 11 Issue 11
Section
Articles

References

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