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On the Cluster-Connectivity of Wireless Sensor Networks

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Computational Science and Its Applications – ICCSA 2016 (ICCSA 2016)

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Abstract

Wireless sensor networks consist of sensor devices with limited energy resources and computational capabilities, hence network optimization and algorithmic development in minimizing the total energy or power to maintain the connectivity of the underlying network are crucial for their design and maintenance. We consider a generalized system model of wireless sensor networks whose node set is decomposed into multiple clusters, and show that the decision and the induced minimization problems of the cluster-connectivity of wireless sensor networks appear to be computationally intractable – completeness and hardness, respectively, for the nondeterministic polynomial-time complexity class. An approximation algorithm is devised to minimize the number of endnodes of inter-cluster edges within a factor of 2 of the optimum for the cluster-connectivity.

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Correspondence to H. K. Dai .

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Dai, H.K., Su, H.C. (2016). On the Cluster-Connectivity of Wireless Sensor Networks. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2016. ICCSA 2016. Lecture Notes in Computer Science(), vol 9787. Springer, Cham. https://doi.org/10.1007/978-3-319-42108-7_2

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  • DOI: https://doi.org/10.1007/978-3-319-42108-7_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42107-0

  • Online ISBN: 978-3-319-42108-7

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