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A Predetermined Deployment Technique for Lifetime Optimization in Clustered WSNs

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Algorithms and Architectures for Parallel Processing (ICA3PP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9531))

Abstract

In wireless sensor networks, preserving energy requires utmost attention due to their high resource constraint feature. Clustering is commonly considered as one of the most efficient energy conservation technique. Firstly, considering Rician channel model for inter-cluster communication and a shortest path routing protocol, we analyze the optimization of network lifetime by balancing the energy consumption among different cluster heads (CHs). It is found that cluster radius of each level has significant role in maximization of network lifetime. To meet the requirement of optimization of network lifetime, we devise a routing aware clustering strategy. We also identify Archimedes’ spiral, based on which a deployment function is proposed for distributing member node (MN) and CH. Simulation results demonstrate that the proposed technique significantly outperforms two competing schemes in terms of energy balance, network lifetime and throughput.

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Authors and Affiliations

  1. Department of CSE, Dr. B.C. Roy Engineering College, Durgapur, 713206, India

    Subir Halder & Amrita Ghosal

Authors
  1. Subir Halder
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  2. Amrita Ghosal
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Corresponding author

Correspondence to Subir Halder .

Editor information

Editors and Affiliations

  1. Central South University, Changsha, China

    Guojun Wang

  2. The University of Sydney, Sydney, New South Wales, Australia

    Albert Zomaya

  3. University of Murcia, Murcia, Murcia, Spain

    Gregorio Martinez

  4. Hunan University, Changsha, China

    Kenli Li

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© 2015 Springer International Publishing Switzerland

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Halder, S., Ghosal, A. (2015). A Predetermined Deployment Technique for Lifetime Optimization in Clustered WSNs. In: Wang, G., Zomaya, A., Martinez, G., Li, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2015. Lecture Notes in Computer Science(), vol 9531. Springer, Cham. https://doi.org/10.1007/978-3-319-27140-8_47

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  • DOI: https://doi.org/10.1007/978-3-319-27140-8_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27139-2

  • Online ISBN: 978-3-319-27140-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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