Research Article Open Access

FUNCTIONAL SIMULATION PLATFORM FOR STUDYING UNDERWATER RADIATION PATTERN

Kanwarpreet Gilhotra1 and Nitaigour Premchand Mahalik1
  • 1 California State University, United States

Abstract

For underwater communication, sound signals are used in contrast to RF. Recent development in wireless sensor network for underwater applications such as ocean exploration, marine aquaculture, sea animal tracking and so on have motivated the researchers and developers to understand the properties of sound signal within water in details. This study presents work on design and development of a simulation platform which can study the properties of the sound signal in virtual in-water situation. The platform is called functional, because this is a dedicated platform which only deals with the sound signal. The scope of the development includes software development principles and methods, review of signal-specific scientific principles and integration of the principles and laws into the software system via object-oriented strategy considering existing data structures and testing and validation of the platform with exemplar results. The functional platform also incorporates modulation techniques, the type of technology systems to be used and radiation pattern of the signal under the water. The test results show that that functional platform can work for simulation study of radiation pattern of sound signal in underwater scenario.

American Journal of Engineering and Applied Sciences
Volume 7 No. 3, 2014, 327-337

DOI: https://doi.org/10.3844/ajeassp.2014.327.337

Submitted On: 22 July 2014 Published On: 12 September 2014

How to Cite: Gilhotra, K. & Mahalik, N. P. (2014). FUNCTIONAL SIMULATION PLATFORM FOR STUDYING UNDERWATER RADIATION PATTERN. American Journal of Engineering and Applied Sciences, 7(3), 327-337. https://doi.org/10.3844/ajeassp.2014.327.337

  • 4,085 Views
  • 2,346 Downloads
  • 0 Citations

Download

Keywords

  • Software Development
  • Simulation Tool
  • Underwater Application
  • Sensor Network