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Approximation schemes for load balanced clustering in wireless sensor networks

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Abstract

Clustering sensor nodes is an efficient technique to improve scalability and life time of a wireless sensor network (WSN). However, in a cluster based WSN, the leaders (cluster heads) consume more energy due to some extra load for various activities such as data collection, data aggregation, and communication of the aggregated data to the base station. Therefore, balancing the load of the cluster heads is a crucial issue for the long run operation of the WSNs. In this paper, we first present a load balanced clustering scheme for wireless sensor networks. We show that the algorithm runs in O(nlogn) time for n sensor nodes. We prove that the algorithm is optimal for the case in which the sensor nodes have equal load. We also show that it is a polynomial time 2-approximation algorithm for the general case, i.e., when the sensor nodes have variable load. We finally improve this algorithm and propose a 1.5-approximation algorithm for the general case. The experimental results show the efficiency of the proposed algorithm in terms of the load balancing of the cluster heads, execution time, and the network life.

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Acknowledgements

The first version of the paper was appeared in the proceedings of the international conference ADCONS 2011 (LNCS 7135, pp. 399–404). The authors are thankful to the anonymous reviewers for their valuable suggestions.

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  1. Department of Computer Science and Engineering, Indian School of Mines, Dhanbad, 826 004, India

    Pratyay Kuila & Prasanta K. Jana

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  1. Pratyay Kuila
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  2. Prasanta K. Jana
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Correspondence to Prasanta K. Jana.

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Kuila, P., Jana, P.K. Approximation schemes for load balanced clustering in wireless sensor networks. J Supercomput 68, 87–105 (2014). https://doi.org/10.1007/s11227-013-1024-6

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  • DOI: https://doi.org/10.1007/s11227-013-1024-6

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