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Effect of Source Selection, Deployment Pattern, and Data Forwarding Technique on the Lifetime of Data Aggregating Multi-sink Wireless Sensor Network

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Book cover Applied Computation and Security Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 304))

Abstract

Data aggregation has been used as a prominent technique for lifetime enhancement of wireless sensor networks (WSN) for quite some time. Data aggregation reduces total number of transmissions in a WSN. Since transmitting energy is the most prominent component of energy consumption in a WSN, data aggregation reduces energy expenditure of the network and thereby enhances network lifetime. The nature of aggregation, however, may vary from one application to another. Along with this, the way source nodes are selected for transmission has an effect on the energy depletion and lifetime of the nodes. In this paper, we have studied the effect of certain non-electrical factors such as source selection, deployment pattern, packet size, and data forwarding technique on the performance of aggregation of a multi-sink WSN with varying degrees of aggregation.

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Authors and Affiliations

  1. Mody University of Science and Technology, Laxmangarh, Sikar, Rajasthan, India

    Kaushik Ghosh

  2. RCCIIT, Kolkata, West Bengal, India

    Pradip K. Das

  3. Jadavpur University, Kolkata, West Bengal, India

    Sarmistha Neogy

Authors
  1. Kaushik Ghosh
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  2. Pradip K. Das
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  3. Sarmistha Neogy
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Corresponding author

Correspondence to Kaushik Ghosh .

Editor information

Editors and Affiliations

  1. A.K. Choudhury School of Information Technology, University of Calcutta, Kolkata, India

    Rituparna Chaki

  2. Faculty of Physics and Applied Computer Sciences, AGH University of Science and Technology, Cracow, Poland

    Khalid Saeed

  3. Department of Computer Science & Engg, University of Calcutta, Kolkata, West Bengal, India

    Sankhayan Choudhury

  4. Department of Computer Science and Engineering, University of Calcutta, Kolkata, India

    Nabendu Chaki

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Ghosh, K., Das, P.K., Neogy, S. (2015). Effect of Source Selection, Deployment Pattern, and Data Forwarding Technique on the Lifetime of Data Aggregating Multi-sink Wireless Sensor Network. In: Chaki, R., Saeed, K., Choudhury, S., Chaki, N. (eds) Applied Computation and Security Systems. Advances in Intelligent Systems and Computing, vol 304. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1985-9_10

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  • DOI: https://doi.org/10.1007/978-81-322-1985-9_10

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1984-2

  • Online ISBN: 978-81-322-1985-9

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