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Performance Assessment of Routing Protocols in Cognitive Radio Vehicular Ad Hoc Networks

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Applied Mathematics and Computational Intelligence (ICAMCI 2020)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 413))

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Abstract

Cognitive radio technology is an inventive method to solve spectrum scarcity problems in wireless networks. Growing interest of cognitive radio (CR) technology in vehicular communication systems has led CR-enabled vehicular ad hoc network (CR-VANET). It allows the efficient use of radio frequency spectrum. In vehicular ad hoc networks (VANETs), mobility of nodes leads to frequent changes of network topology making routing a challenging task. It is important to balance different parameters such as impact of spectrum availability, dynamic nature of VANET, varying interference and security while designing solutions for CR-VANETs. In this paper, we have compared AODV and DSR routing protocols in CR-VANET scenario and have found that AODV protocol is more suitable. It is observed that on-demand routing protocols outperform reactive protocols. All the experimental work is conducted through OPNET network simulator.

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Author information

Authors and Affiliations

  1. Malaviya National Institute of Technology, Jaipur, India

    Jyoti Grover

  2. Manipal University Jaipur, Jaipur, India

    Sunita Singhal

Authors
  1. Jyoti Grover
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  2. Sunita Singhal
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Correspondence to Jyoti Grover .

Editor information

Editors and Affiliations

  1. Research Chair of Graduate Studies, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

  2. Department of Mathematics, National Institute of Technology Agartala, Agartala, Tripura, India

    Uttam Kumar Bera

  3. Department of Applied Sciences, Haldia Institute of Technology, Haldia, West Bengal, India

    Dipak Kumar Jana

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Grover, J., Singhal, S. (2023). Performance Assessment of Routing Protocols in Cognitive Radio Vehicular Ad Hoc Networks. In: Castillo, O., Bera, U.K., Jana, D.K. (eds) Applied Mathematics and Computational Intelligence. ICAMCI 2020. Springer Proceedings in Mathematics & Statistics, vol 413. Springer, Singapore. https://doi.org/10.1007/978-981-19-8194-4_8

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