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Proceedings Paper

Preferential coverage-based efficient sensor placement in distributed sensor networks
Author(s): Naveen Kandiraju; Sumeet Dua; Ankur K. Rajopadhye
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Paper Abstract

Effective sensor placement methodologies are desired for distributed sensor networks frequently encountered in military, environmental, and nano-biotechnology applications. The goal is to provide a (sub-)optimal framework for sensor resource management, while placing those sensors such that they provide accurate coverage within the required location and range probability. The problem is not trivial as the sensors might not be of equal capacity, the terrain upon which the sensors are deployed might have many obstacles and some sensors might fail. In some applications, areas over the sensor field are marked preferential, with high desired probability of detection and coverage. In this paper, we propose a unique sensor placement computing framework for preferential coverage in the sensor-field, while trying to deploy minimum number of sensors. The proposed approach treats the sensor field as an image, which provides an advantage of attaining pixel-level accuracy in sensor placement. A unique algorithm is presented that initially concentrates on the preferential regions and then proceeds towards the calibration of other uncovered regions of the sensor field. Our approach has shown significant improvement in time-performance in contrast to the greedy-approach, and has a strong potential for applications in several mission-critical applications.

Paper Details

Date Published: 11 November 2004
PDF: 8 pages
Proc. SPIE 5605, Intelligent Systems in Design and Manufacturing V, (11 November 2004); doi: 10.1117/12.569900
Show Author Affiliations
Naveen Kandiraju, Louisiana Tech Univ. (United States)
Sumeet Dua, Louisiana Tech Univ. (United States)
Ankur K. Rajopadhye, Louisiana Tech Univ. (United States)

Published in SPIE Proceedings Vol. 5605:
Intelligent Systems in Design and Manufacturing V
Bhaskaran Gopalakrishnan, Editor(s)

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