Next Article in Journal
Feasibility of a Secure Wireless Sensing Smartwatch Application for the Self-Management of Pediatric Asthma
Previous Article in Journal
Integrating Optimal Heterogeneous Sensor Deployment and Operation Strategies for Dynamic Origin-Destination Demand Estimation
Article Menu
Issue 8 (August) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(8), 1771; https://doi.org/10.3390/s17081771

Barrier Coverage for 3D Camera Sensor Networks

1
College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
2
Faculty of Robot Science and Engineering, Northeastern University, Shenyang 110819, China
*
Author to whom correspondence should be addressed.
Received: 18 June 2017 / Revised: 18 July 2017 / Accepted: 25 July 2017 / Published: 3 August 2017
(This article belongs to the Section Sensor Networks)
View Full-Text   |   Download PDF [5961 KB, uploaded 3 August 2017]   |  

Abstract

Barrier coverage, an important research area with respect to camera sensor networks, consists of a number of camera sensors to detect intruders that pass through the barrier area. Existing works on barrier coverage such as local face-view barrier coverage and full-view barrier coverage typically assume that each intruder is considered as a point. However, the crucial feature (e.g., size) of the intruder should be taken into account in the real-world applications. In this paper, we propose a realistic resolution criterion based on a three-dimensional (3D) sensing model of a camera sensor for capturing the intruder’s face. Based on the new resolution criterion, we study the barrier coverage of a feasible deployment strategy in camera sensor networks. Performance results demonstrate that our barrier coverage with more practical considerations is capable of providing a desirable surveillance level. Moreover, compared with local face-view barrier coverage and full-view barrier coverage, our barrier coverage is more reasonable and closer to reality. To the best of our knowledge, our work is the first to propose barrier coverage for 3D camera sensor networks. View Full-Text
Keywords: barrier coverage; camera sensor networks; resolution; 3D sensing model barrier coverage; camera sensor networks; resolution; 3D sensing model
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Si, P.; Wu, C.; Zhang, Y.; Jia, Z.; Ji, P.; Chu, H. Barrier Coverage for 3D Camera Sensor Networks. Sensors 2017, 17, 1771.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top