Abstract
Barrier coverage of sensor networks is to provide sensor barriers guarding boundaries of critical infrastructures. In order to increase the Quality of Monitor (QoM) of Wireless Visual Sensor Networks (WVSNs), we revisit the barrier coverage problem with the consideration of Importance of Image (IoI). With the consideration of IoI, we can ensure that if any intruder crosses the barrier, important portions of the intruder can be clearly captured. Moreover, we use two different deployment methods to observe the successful rate of the proposed barrier construction algorithm. The two deployment methods are Uniform distribution and Gaussian distribution.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
