Geographical feature sensitive sensor placement

Authors:
Jae H. Park;Gary Friedman;Mark Jones
Affiliations:
Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA;Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA;Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA
Venue:
Journal of Parallel and Distributed Computing
Year:
2004

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Abstract

With downward price trends on sensors and advances in low-power wireless communication devices, it is becoming practical to deploy large sensor networks. Where to place sensors, or groups of sensors, to achieve the desired level of coverage is one of the practical issues that must be addressed to allow effective use of large sensor networks. In this paper, we formulate a placement algorithm that takes into account geographical features as well as the desired level of sensor redundancy to produce a set of useful sensor locations. The algorithm employs both global and local optimization to find a suitable placement. We give analytical and experimental results that demonstrate the efficiency of execution and the quality of the solutions.