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Improved Bio Inspired Energy Efficient Clustering Algorithm to Enhance QoS of WSNs

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Abstract

In the growing world of technology, use of WSN is increasing at an exponential rate in many real time applications such as security, monitoring, tracking, management, learning etc. The most critical challenge in networks is energy consumption; any method used has to be energy efficient. One of the most used approach for reducing the energy consumption and improvement of performance is clustering. In this paper, clustering based new routing algorithm for WSNs using Bio-inspired energy efficient clustering protocol (BeeCup) has been implemented. IBeeCup method has been proposed which is an extension of BeeCup method that finds shortest path. The location information is determined by RSSI. This approach takes an advantage of biologically inspired computation which improves the performance of network.

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Authors and Affiliations

  1. Sinhagad College of Engineering, Pune, Maharashtra, India

    Shankar Dattatray Chavan

  2. Department of Electronics and Telecommunication, Dr. D. Y. Patil Institute of Engineering and Technology, Pune, Maharashtra, India

    Anju VijayKumar Kulkarni

Authors
  1. Shankar Dattatray Chavan
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  2. Anju VijayKumar Kulkarni
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Correspondence to Shankar Dattatray Chavan.

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Chavan, S.D., Kulkarni, A.V. Improved Bio Inspired Energy Efficient Clustering Algorithm to Enhance QoS of WSNs. Wireless Pers Commun 109, 1897–1910 (2019). https://doi.org/10.1007/s11277-019-06658-7

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  • DOI: https://doi.org/10.1007/s11277-019-06658-7

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