By Topic

On the best interceptor placement for an optimally deployed visual sensor network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Morsly, Y. ; Robot. Lab., Polytech. Mil. Inst., Algiers, Algeria ; Djouadi, M.S. ; Aouf, N.

The problem treated in this paper is about optimal visual sensors placement and deployment with estimation of the appropriate location of an interceptor to be placed. The main objective of this research is to ensure accurate coverage of the monitoring space with a minimum number of directional “field-of-view” (FOV) cameras and in the same time to decrease the interception time of an intruder at any entry of a target traveling between two areas. Firstly, we define the coverage problem by realistic and consistent assumptions taking into account the capabilities and limits of the cameras. Then, a novel method based on Binary Particle Swarm Optimization (BPSO) and inspired probability is proposed for solving the cameras placement for coverage problem. The performances of the proposed approach are discussed and compared with several stochastic algorithms such as genetic algorithms, immune system and some adapted versions of evolutionary algorithms based on the BPSO. In the second part of the paper, we address an improved optimal polynomial time algorithm for computing the worst-case breach coverage in directional FOV sensor networks, which represent the best position of an interceptor to be placed.

Published in:

Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on

Date of Conference:

10-13 Oct. 2010