Development of Underwater Acoustic Channel Model for Wireless Sensor Network in Tank
Sweta S Panchal1, Ved Vyas Dwivedi2, Jayesh P Pabari3
1Sweta S Panchal*, Research Scholar, E & C Engg. Department, C U Shah University, Wadhwan, Gujarat, India.
2Ved Vyas Dwivedi, Provost, C U Shah University, Wadhwan, Gujarat, India.
3Jayesh P Pabari, Researcher, Plasma Research Laboratory, Ahmedabad, Gujarat, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 10, 2020. | PP: 22-27 | Volume-9 Issue-5, March 2020. | Retrieval Number: E1962039520/2020©BEIESP | DOI: 10.35940/ijitee.E1962.039520
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The physical quantity of interest can be detected using wireless sensor network. The concept of wireless sensor network used to explore difficult areas to access is extended to underwater applications. Efforts are made to focus on design and development of reliable, feasible and robust system for communication in underwater environment. The scenario of communication is completely different for terrestrial and underwater environment. Underwater wireless communication is accomplished by transmission of acoustic signal. Requirement exists to develop a model governing basic equations for acoustic frequency range for underwater acoustic communication. With excess quantity of sodium chloride in a underwater tank, the physical properties of the channel changes which alternately effects the communication. Using soft computing technique, the attenuation model is simulated which is a basic physical property taking change during underwater acoustic communication. The topology of sensor network in water is another challenging task because behaviors of acoustic sensor in underwater are completely different than terrestrial sensors. Thus the efforts are made to devise a model of acoustic frequency environment in water using basic relationships of various physical phenomena. The Channel propagation model is devised that helps to understand percentage area coverage for the received signal strength of the transmitted acoustic signal. Thus the underwater acoustic signal channel propagation model is presented which helps to focus on communication scenario in water and proceed for application.
Keywords: Acoustic Signal, Attenuation Model, Soft Computing, Channel Propagation Model, Underwater Acoustic Communication.
Scope of the Article: Soft Computing