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Randomized Distance Based Clustering Algorithm for Energy Efficient Wireless Sensor Networks

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Advanced Computing and Communication Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 452))

Abstract

Energy efficiency in Wireless Sensor Networks is very important issue now a days because with development of sophisticated hardware and better software, the area of implementation of WSN has widened remarkably. Clustering technique has been widely used in WSN for achieving better management and energy efficiency. LEACH is one of the widely used algorithms in WSN because of its simplicity and easy implementation. However, LEACH is probabilistic based model and it has ignored the effect of different parameters that can affect the energy efficiency of the WSN. In order to overcome this pitfall of LEACH, we introduced new algorithm RDBC, which is both probabilistic as well as distance based approach to achieve better energy efficiency. We simulate our algorithm as well as LEACH in MATLAB and found that RDBC is better than LEACH in different aspects.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Kathmandu University, Post Box No.: 6250, Dhulikhel-7, Nepal

    Rabindra Bista & Anmol Shakya

Authors
  1. Rabindra Bista
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  2. Anmol Shakya
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Corresponding author

Correspondence to Rabindra Bista .

Editor information

Editors and Affiliations

  1. Asia Pacific Institute of Info. Tech., Director, Panipat, Haryana, India

    Ramesh K. Choudhary

  2. Department of Computer, Kalyani University, Kalyani, West Bengal, India

    Jyotsna Kumar Mandal

  3. IIT Ropar, Ropar, Punjab, India

    Nitin Auluck

  4. and Diagnostics, Centre for DNA Fingerprinting, Hyderabad, Andhra Pradesh, India

    H A Nagarajaram

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© 2016 Springer Science+Business Media Singapore

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Bista, R., Shakya, A. (2016). Randomized Distance Based Clustering Algorithm for Energy Efficient Wireless Sensor Networks. In: Choudhary, R., Mandal, J., Auluck, N., Nagarajaram, H. (eds) Advanced Computing and Communication Technologies. Advances in Intelligent Systems and Computing, vol 452. Springer, Singapore. https://doi.org/10.1007/978-981-10-1023-1_38

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  • DOI: https://doi.org/10.1007/978-981-10-1023-1_38

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1021-7

  • Online ISBN: 978-981-10-1023-1

  • eBook Packages: EngineeringEngineering (R0)

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