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Localization-Oriented Coverage in Wireless Camera Sensor Networks
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DOI：10.1109/TWC.2010.01.080956.png)
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Abstract
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In this paper, we investigate the coverage problem from the perspective of target localization for wireless camera sensor networks. We first propose a novel localization-oriented sensing model based on the perspective projection of camera sensors. Based on the sensing model, we propose a new notion of coverage, Localization-oriented coverage (L-coverage for short), by using Bayesian estimation theory. Furthermore, we analyze the relationship between the density of camera sensors and the L-coverage probability under random deployment where camera sensors are deployed according to a 2-dimensional Poisson process. According to the relationship between the density of camera sensors and the L-coverage probability, we derive the density requirements for an expected L-coverage probability. We validate and evaluate our proposed models and schemes by simulations.
Keywords:
Wireless camera sensor networks
target localization
coverage
coverage probability
Bayesian estimation
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10.7
Papers:
1.3W
Citations:
5.3W
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