A Branch and Bound Algorithm for the Critical Grid Coverage Problem in Wireless Sensor Networks

Maher Rebai (1) , Matthieu Le Berre (2) , Faicel Hnaien (1) , Hichem Snoussi (2) , Lyes Khoukhi (3)

1 LOSI - Laboratoire d'Optimisation des Systèmes Industriels
2 LM2S - Laboratoire Modélisation et Sûreté des Systèmes
3 ERA - Environnement de Réseaux Autonomes

We aim to cover a grid fully by deploying the necessary wireless sensors while maintaining connectivity between the deployed sensors and a base station (the sink). The problem is NP-Complete as it can be reduced to a 2-dimensional critical coverage problem, which is an NP-Complete problem. We develop a branch and bound (B&B) algorithm to solve the problem optimally. We verify by computational experiments that the proposed B&B algorithm is more efficient, in terms of computation time, than the integer linear programming model developed by Rebai et al. (2013), for the same problem.

Domaines: Réseaux et télécommunications [cs.NI]

Maher Rebai, Matthieu Le Berre, Faicel Hnaien, Hichem Snoussi, Lyes Khoukhi. A Branch and Bound Algorithm for the Critical Grid Coverage Problem in Wireless Sensor Networks. International Journal of Distributed Sensor Networks, 2014, 10 (2), pp.769658. ⟨10.1155/2014/769658⟩. ⟨hal-02271684⟩