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A GA-Based Intelligent Traffic Management Technique for Wireless Body Area Sensor Networks

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Nature Inspired Computing for Wireless Sensor Networks

Part of the book series: Springer Tracts in Nature-Inspired Computing ((STNIC))

Abstract

In the modern era, the applications of the wireless network increase rapidly in the forms of several variations. Wireless Body Area Sensor Network (WBASN) is one of the variations of the wireless network. The purpose of this network is to monitor and detect several characteristics of the body and transmit into the proper destination. This is an intelligent wearable electronic component that consists of several inherent elements to achieve the main goal. It provides real-time diagnosis and treatment to the patients. This network contains several conflicting elements that help to raise traffic. Moreover, each node of this network consists of limited capacity of battery which is crucial point of the traffic. In this paper, an intelligent Genetic Algorithm (GA) based traffic management technique is proposed for WBASNs. The intelligent technique GA is used to enhance the network lifetime efficiently by maximizing green signal of the network. The proposed method is compared with some existing techniques in terms of some features. The final comparison shows that the proposed method outperformed the existing methods.

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Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, National Institute of Science and Technology (Autonomous), Institute Park, Pallur Hills, Berhampur, Odisha, 761008, India

    Kanhu Charan Gouda & Santosh Kumar Das

  2. Department of Mathematics, Jag Jiwan College, Unit of Veer Kunwan Singh University, Arrah, Bhojpur, Bihar, 802312, India

    Om Prakash Dubey

  3. Artificial Intelligence Research Center, University of Veracruz, Xalapa, Mexico

    Efrén Mezura Montes

Authors
  1. Kanhu Charan Gouda
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  2. Santosh Kumar Das
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  3. Om Prakash Dubey
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  4. Efrén Mezura Montes
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Corresponding author

Correspondence to Santosh Kumar Das .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Maulana Abul Kalam Azad University, Kolkata, West Bengal, India

    Debashis De

  2. Department of Computer Science and Engineering, Institute of Engineering and Management, Kolkata, West Bengal, India

    Amartya Mukherjee

  3. School of Computer Science and Engineering, National Institute of Science and Technology, Berhampur, Odisha, India

    Santosh Kumar Das

  4. Department of Information Technology, Techno India College of Technology, Kolkata, India

    Nilanjan Dey

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Gouda, K.C., Das, S.K., Dubey, O.P., Montes, E.M. (2020). A GA-Based Intelligent Traffic Management Technique for Wireless Body Area Sensor Networks. In: De, D., Mukherjee, A., Kumar Das, S., Dey, N. (eds) Nature Inspired Computing for Wireless Sensor Networks. Springer Tracts in Nature-Inspired Computing. Springer, Singapore. https://doi.org/10.1007/978-981-15-2125-6_4

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  • DOI: https://doi.org/10.1007/978-981-15-2125-6_4

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  • Online ISBN: 978-981-15-2125-6

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