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A Tabu Search Algorithm for Cluster Building in Wireless Sensor Networks

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2 Author(s)
El Rhazi, A. ; Ecole Polytech. de Montreal, Montreal, QC ; Pierre, Samuel

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.

Published in:

Mobile Computing, IEEE Transactions on  (Volume:8 ,  Issue: 4 )