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An Innovative Method for Load Balanced Clustering Problem for Wireless Sensor Network in Mobile Cloud Computing

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Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 516))

Abstract

Mobile Cloud Computing is a revolutionary way where global world is progressing in massive way. Connecting wireless sensor network with Mobile Cloud computing is a novel idea in this era. In this year several research has demonstrated to integrate wireless sensor networks (WSNs) with mobile cloud computing, so that cloud computing can be exploited to process the sensory data collected by WSNs and allow these date to the mobile clients in fast, reliable and secured way. For rising lifetime of wireless sensor network, minimizing energy consumption is an important factor. In this case clustering sensor nodes is one of the effective solutions. It is required to gain some excessive load for cluster heads of cluster based WSN in case of collection of huge data, aggregation and communication of this respective data to base station. Particle Swarm Optimization or PSO is an efficient solution of for this problem.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, University of Kalyani, Kalyani, India

    Debabrata Sarddar & Enakshmi Nandi

  2. Department of Business Administration, University of Kalyani, Kalyani, India

    Anil Kumar Sharma, Biswajit Biswas & Manas Kumar Sanyal

Authors
  1. Debabrata Sarddar
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  2. Enakshmi Nandi
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  3. Anil Kumar Sharma
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  4. Biswajit Biswas
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  5. Manas Kumar Sanyal
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Corresponding author

Correspondence to Enakshmi Nandi .

Editor information

Editors and Affiliations

  1. Anil Neerukonda Inst. of Tech. & Sci., Prof., Dept. of Computer Sci. & Engg. Anil Neerukonda Inst. of Tech. & Sci., Vishakapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Professional Colleges (SRMGPC), Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. SCIS, University of Hyderabad , Hyderabad, India

    Siba K. Udgata

  4. KIIT University, School of Computer Engineering KIIT University, Bhubaneswar, Odisha, India

    Prasant Kumar Pattnaik

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© 2017 Springer Nature Singapore Pte Ltd.

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Sarddar, D., Nandi, E., Sharma, A.K., Biswas, B., Sanyal, M.K. (2017). An Innovative Method for Load Balanced Clustering Problem for Wireless Sensor Network in Mobile Cloud Computing. In: Satapathy, S., Bhateja, V., Udgata, S., Pattnaik, P. (eds) Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications . Advances in Intelligent Systems and Computing, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-10-3156-4_33

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  • DOI: https://doi.org/10.1007/978-981-10-3156-4_33

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3155-7

  • Online ISBN: 978-981-10-3156-4

  • eBook Packages: EngineeringEngineering (R0)

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