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Fuzzy Decision Model for Selecting Core Factors in Vehicular Network Communications
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Author(s): M. Clement Joe Anand (Mount Carmel College, Bengaluru, India), M. Santoshi Kumari (Chaitanya Bharathi Institute of Technology, India), Devasis Pradhan (Acharya Institute of Technology, India)and Shaik Khaja Mohiddin (Koneru Lakshmaiah Education Foundation, India)
Copyright: 2025
Pages: 18
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.ch006
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Abstract
The efficacy of the vehicular networks is highly dependent on the choice of communication models. The vehicular network communication models outline the nature of interactions between the entities of vehicles, infrastructure, and the environment. Some of the most common communication models in existence are Vehicle-to-Vehicle, Vehicle-to-Infrastructure, Vehicle-to-Grid, and Vehicle-to-Network. These models are categorized based on the entities involved, direction, and purpose of communication. The choice-making of these communication models are hurdled by the primary challenges of heterogeneity of applications and dynamic network conditions. This chapter proposes solutions to these challenges by constructing a fuzzy-based multi-criteria decision-making method of LBWA (Level Based Weighting Assessment). This fuzzy model considers the factors to be taken into account in selecting the vehicular network communication models and also determines the weightage to each of the factors considered. This model developed in this chapter facilitates identifying the most significant factors in selecting the communication models. The optimal ranking of the factors is validated with other decision methods to determine the consistency of the results. The chapter concludes with future research directions.
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