Localization-Oriented Coverage in Wireless Camera Sensor Networks Academic Article

abstract

• 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. 2011 IEEE.

authors

• Zhang, Xi

published proceedings

• IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

author list (cited authors)

• Liu, L., Zhang, X. i., & Ma, H.

citation count

• 21

complete list of authors

• Liu, Liang||Zhang, Xi||Ma, Huadong

publication date

• February 2011

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Wireless Communications  Journal

keywords

• Bayesian Estimation
• Coverage
• Coverage Probability
• Target Localization
• Wireless Camera Sensor Networks

Digital Object Identifier (DOI)

• 10.1109/TWC.2010.01.080956

start page

• 484

end page

• 494

volume

• 10

issue

• 2

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Ftwc.2010.01.080956