Energy Aware Contour Covering using Collaborating Mobile Sensors - Free Final Year Project's

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Feb 10, 2010

Energy Aware Contour Covering using Collaborating Mobile Sensors

The topic on Energy aware contour covering using collaborating mobile sensors is very burning topic and help engineers and other in many ways. As Environmental sensing systems are becoming useful in disaster management and can provide alert at time of emergency. You can also Subscribe to FINAL YEAR PROJECT'S by Email.

In this paper, authors has address the significant problem of continuously adjusting the direction of movement by presenting a distributed algorithm where a sensor determines the direction of movement by

1) estimating the distance to the contour and perimeter of the contour using locally sensed information as well as information gathered through collaboration.

2) deciding dynamically whether to directly approach the contour or surround the contour based on the amount of work remaining to be done by the sensor vis a vis the energy remaining.

Energy Aware Contour Covering using Collaborating Mobile Sensors

With recent advances in robotic technology such mobile sensors have already been prototyped and tested, e.g., SOTAB-1 (Spilled Oil Tracking Autonomous Buoy): a mobile buoy is equipped with in-situ as well as image sensors which are used to locate the spill. But, since the energy consumption in a mobile sensor is mainly due to movement, the challenge in designing a mobile sensor network for contour covering lies in determining the direction of movement towards and around the contour such that the coverage is maximized and coverage error is minimized under energy constraints. The decision depends upon the amount of information available to the sensors.

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This project shows that if the sensors know the location of the points of the contour, even in the absence of energy constraints, the problem of finding the optimal path for the sensors such that every location on the contour is visited is NP Hard. Use this report for your reference and study only. Thanks to the author of this project.

Author:- Sumana Srinivasan, Krithi Ramamritham, Purushottam Kulkarni

Source:- IIT-Bombay



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