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Multi-Criteria Approaches in Selecting Optimal Vehicle-to-Vehicle Communication Protocols
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Author(s): N. Anitha (Periyar University Centre for Postgraduate and Research Studies, India), Mohit Tiwari (Bharat Vidyapeeth's College of Engineering, India), Shaik Moinuddin Imran (Sri Venkateswara Institute of Technology, India), Y. Monikarchana (Mohan Babu University, India), Manish Kumar Thakur (Acharya Institute of Technology, India)and M. Clement Joe Anand (Mount Carmel College, India)
Copyright: 2025
Pages: 24
Source title:
Networking, Transport, and Quality of Service in Vehicular Networks
Source Author(s)/Editor(s): Truong Khang Nguyen (Van Lang University, Vietnam)and Devasis Pradhan (Acharya Institute of Technology, India)
DOI: 10.4018/979-8-3693-6422-2.ch008
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Abstract
Communication protocols are guidelines governing the transmission of data between the entities of the vehicular networks. These protocols play a crucial role in enabling optimal connectivity, ensuring safety and traffic management. The effective functioning of the V2V network depends on the right choice of communication protocols, as the mismatch in selection results in incompatibility, performance degradation, congestion, and other security issues. This chapter focuses primarily on the intervention of a multi-criteria approach in making an optimal selection of the communication protocols used in the V2V network. The decision-making problem comprises the alternatives namely IEEE 802.11p, Cellular-V2X, Dedicated Short-Range Communication (DSRC), LTE-V2X, IEEE 1609.x, and ITS-G5. The criteria considered are Compatibility, Security, Data Rate, Range, Scalability, and Spectral Efficiency. Different MCDM approaches such as AHP, Entropy method, and FUCOM are applied to this linguistic decision matrix to obtain the criterion weights, and methods such as COPRAS, SMART, and MAIRCA are applied in ranking the alternatives. A comparative analysis is made to determine the validity of the criterion weights and ranking results. These combined MCDM approaches shall be applied to other decision-making scenarios of vehicular networking to design optimal solutions.
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