Optimizing Deployment Cost in Camera-Based Wireless Sensor Networks

  • Mehdi Rouan SerikEmail author
  • Mejdi Kaddour
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 456)


We discuss in this paper a deployment optimization problem in camera-based wireless sensor networks. In particular, we propose a mathematical model to solve the problem of minimizing the number of cameras required to cover a set of targets with a given level of quality. Since solving this kind of problems with exact methods is computationally expensive, we rather rely on an adapted version of Binary Particle Swarm Optimization (BPSO). Our preliminary results are motivating since we obtain near-optimal solutions in few iterations of the algorithm. We discuss also the relevance of hybrid meta-heuristics and parallel algorithms in this context.


Camera-based wireless sensor networks Minimum cost deployment Coverage quality Binary particle swarm optimization 


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Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  1. 1.LITIO LaboratoryUniversity of Oran 1OranAlgeria

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