Loading [MathJax]/extensions/MathMenu.js
Sensor Placement Algorithms for Fusion-Based Surveillance Networks | IEEE Journals & Magazine | IEEE Xplore

Sensor Placement Algorithms for Fusion-Based Surveillance Networks


Abstract:

Mission-critical target detection imposes stringent performance requirements for wireless sensor networks, such as high detection probabilities and low false alarm rates....Show More

Abstract:

Mission-critical target detection imposes stringent performance requirements for wireless sensor networks, such as high detection probabilities and low false alarm rates. Data fusion has been shown as an effective technique for improving system detection performance by enabling efficient collaboration among sensors with limited sensing capability. Due to the high cost of network deployment, it is desirable to place sensors at optimal locations to achieve maximum detection performance. However, for sensor networks employing data fusion, optimal sensor placement is a nonlinear and nonconvex optimization problem with prohibitively high computational complexity. In this paper, we present fast sensor placement algorithms based on a probabilistic data fusion model. Simulation results show that our algorithms can meet the desired detection performance with a small number of sensors while achieving up to seven-fold speedup over the optimal algorithm.
Published in: IEEE Transactions on Parallel and Distributed Systems ( Volume: 22, Issue: 8, August 2011)
Page(s): 1407 - 1414
Date of Publication: 05 April 2011

ISSN Information:


Contact IEEE to Subscribe

References

References is not available for this document.