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Motion Prediction of Underwater Sensors

Author

Listed:
  • Abdulrzaq Naji Jamjoom

    (King Abdul Aziz University, Saudi Arabia)

  • Ramzi Othman

    (King Abdul Aziz University)

  • Khalid H. Almitani

    (King Abdul Aziz University, Saudi Arabia)

Abstract

In this work, we will simulate the motion of a single underwater sensor knowing the current velocity to predict its location and velocity during certain time frame using a numerical approach of non-linear time-dependent partial differential equations and develop numerical computer programming code to solve the equations. The underwater sensor are used to collect data for many scientific and practical reasons all the sensor collected data without specifying the sensor location and time will be missing lowers valuable information and by simulating the sensor motion numerically will have many values and impact on the underwater sensor industries as this will lead to less power consumption sensors with smaller size and less network coverage required. This paper will study the kinetics of the underwater sensor which will resulted to a set of non-linear time-dependent partial differential equations that can be solved analytically and computer programming simulation is developed to solve the equations and predict the motion of underwater sensor. Different scenarios considered in the work such as simulating the result for different sensor’s density and the effect on its final position. Also, the result will include the sensor velocity simulation and comparison with the sea current velocity. This work is limited to the motion prediction of single underwater sensor and the result is only for mechanical aspect of the problem, the networks connectivity or coverage is out-of-scope.

Suggested Citation

  • Abdulrzaq Naji Jamjoom & Ramzi Othman & Khalid H. Almitani, 2020. "Motion Prediction of Underwater Sensors," European Journal of Engineering and Technology Research, European Open Science, vol. 5(10), pages 1249-1252, October.
  • Handle: RePEc:epw:ejeng0:v:5:y:2020:i:10:id:62177
    DOI: 10.24018/ejeng.2020.5.10.2177
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