Issue No. 04 - April (2009 vol. 8)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TMC.2008.125
Abdelmorhit El Rhazi , Ecole Polytechnique de Montréal, Montréal
Samuel Pierre , Ecole Polytechnique de Montréal, Montréal
The main challenge in wireless sensor network deployment pertains to optimizing energy consumption when collecting data from sensor nodes. This paper proposes a new centralized clustering method for a data collection mechanism in wireless sensor networks, which is based on network energy maps and Quality-of-Service (QoS) requirements. The clustering problem is modeled as a hypergraph partitioning and its resolution is based on a tabu search heuristic. Our approach defines moves using largest size cliques in a feasibility cluster graph. Compared to other methods (CPLEX-based method, distributed method, simulated annealing-based method), the results show that our tabu search-based approach returns high-quality solutions in terms of cluster cost and execution time. As a result, this approach is suitable for handling network extensibility in a satisfactory manner.
Wireless sensor network, energy map, data collect, clustering methods, tabu search.
S. Pierre and A. El Rhazi, "A Tabu Search Algorithm for Cluster Building in Wireless Sensor Networks," in IEEE Transactions on Mobile Computing, vol. 8, no. , pp. 433-444, 2008.