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DSCB: Dual sink approach using clustering in body area network

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Abstract

Wireless Body Area Networks (WBANs) is a revolutionary achievement in the field of health services. The field is envisioned to play an important role in medical, psychological, and even in non-medical applications. Different routing protocols are being designed in WBAN to enhance its performance, focusing on delay, energy efficiency, throughput, and network lifetime. Line-of-sight (LoS) and Non-Line-of-Sight (NLoS) communications and clustering are the least focused areas in the literature. This paper presents a routing protocol called Dual Sink approach using Clustering in Body Area Network (DSCB) which is more reliable in terms of network stability, and energy efficient in comparison to its counterparts. This protocol enhances network life-time by introducing the concept of clustering while using two sink nodes. The proposed scheme is compared with existing protocols named as SIMPLE and DARE. The cost function is established for selection of forwarder node, based on nodal distance from the sink, residual energy, and transmission power. Simulation results depict that the proposed protocol achieves significant performance improvement in network throughput by attaining 55% and 22% more efficient results compared to SIMPLE and DARE respectively. Furthermore, the results show improved performance of DSCB protocol, in terms of network stability and end-to-end delay performance metrics.

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Authors and Affiliations

  1. Centre of Excellence in IT, Institute of Management Sciences, Peshawar, Pakistan

    Zahid Ullah & Imran Ahmed

  2. Department of Computer Science, COMSATS Institute of Information Technology, Sahiwal, Pakistan

    Kaleem Razzaq

  3. Department of Computer Engineering, Bahria University , Islamabad, Pakistan

    Muhammad Kashif Naseer

  4. Department of Computer Science, University of Peshawar, Peshawar, Pakistan

    Naveed Ahmed

Authors
  1. Zahid Ullah
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  2. Imran Ahmed
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  3. Kaleem Razzaq
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  4. Muhammad Kashif Naseer
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  5. Naveed Ahmed
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Correspondence to Zahid Ullah.

Additional information

This article is part of the Topical Collection: Special Issue on Software Defined Networking: Trends, Challenges and Prospective Smart SolutionsGuest Editors: Ahmed E. Kamal, Liangxiu Han, Sohail Jabbar, and Liu Lu

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Ullah, Z., Ahmed, I., Razzaq, K. et al. DSCB: Dual sink approach using clustering in body area network. Peer-to-Peer Netw. Appl. 12, 357–370 (2019). https://doi.org/10.1007/s12083-017-0587-z

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  • DOI: https://doi.org/10.1007/s12083-017-0587-z

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