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A Fuzzy Logic-Based Congestion Detection Technique for Vehicular Ad Hoc Networks

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Advances in Distributed Computing and Machine Learning

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 427))

Abstract

Vehicular ad hoc networks (VANETs) have wide applications in public healthcare systems. Reducing the travel time of emergency vehicles like ambulance increases the chance of survival of serious patients. In urban areas, there is a chance of blockage of communicating roads due to construction works, accidents, strikes, storm, etc. The paper proposes a fuzzy logic-based congestion detection technique on a road at a particular location. After detecting crowd at a particular location by applying a “fuzzy logic-based inference system,” the driver of emergency vehicle is routed with a shortest path to the nearest healthcare center. This is accomplished by combining intelligent communication systems with GPS, wireless sensor network (WSN) and a computing device. The proposed technique can be implemented in routing an emergency vehicle in smart cities and as a result smart medical services can be provided on emergency basis to serious patients to save precious lives.

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Author information

Authors and Affiliations

  1. Veer Surendra Sai University of Technology, Burla, India

    Rashmi Ranjita & Sasmita Acharya

Authors
  1. Rashmi Ranjita
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  2. Sasmita Acharya
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Corresponding author

Correspondence to Rashmi Ranjita .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Warangal, India

    Rashmi Ranjan Rout

  2. Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India

    Soumya Kanti Ghosh

  3. Department of Computer Science and Engineering, Indian Institute of Technology (ISM) Dhanbad, Dhanbad, India

    Prasanta K. Jana

  4. School of IT and Engineering (SITE), Vellore Institute of Technology, Vellore, India

    Asis Kumar Tripathy

  5. Department of Computer Science and Information Technology, Institute of Technical Education and Research (ITER), Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, India

    Jyoti Prakash Sahoo

  6. Department of Computer Science and Information Engineering (CSIE), Providence University, Taichung, Taiwan

    Kuan-Ching Li

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Ranjita, R., Acharya, S. (2022). A Fuzzy Logic-Based Congestion Detection Technique for Vehicular Ad Hoc Networks. In: Rout, R.R., Ghosh, S.K., Jana, P.K., Tripathy, A.K., Sahoo, J.P., Li, KC. (eds) Advances in Distributed Computing and Machine Learning. Lecture Notes in Networks and Systems, vol 427. Springer, Singapore. https://doi.org/10.1007/978-981-19-1018-0_15

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