DAHP–TOPSIS-Based Channel Decision Model for Co-Operative CR-Enabled Internet on Vehicle (CR-IoV)

Abstract

The Internet of Vehicles (IoV) is an important idea in developing intelligent transportation systems and self-driving cars. Vehicles with various wireless networking options can communicate both inside and outside the vehicles. IoVs with cognitive radio (CR) enable communication between vehicles in a variety of communication scenarios, increasing the rate of data transfer and bandwidth. The use of CR can meet the future need for quicker data transport between vehicles and infrastructure (V2I). Vehicles with CR capabilities on VANET have a different appearance than regular VANET vehicles. This paper aims to develop effective spectrum management for CR-equipped automobiles. An improved channel decision model has been proposed with proven outcomes to boost the pace of transmission, eliminate end-to-end delays, and minimize the number of handoffs. Many high-bandwidth channels will be used in the near future to communicate large-sized multimedia content between vehicles and roadside units (RSU) for both entertainment and safety purposes. Co-operative sensing promotes energy-constrained CR vehicles for sensing a wide spectrum, resulting in high-quality communication channels for requesting vehicles. Our research on the CR-VANET focuses on channel decision instead of spectrum sensing and it differs from previous studies. We used the DAHP–TOPSIS model under multi-criteria decision analysis (MCDA), a sub-domain of operations research, to boost profits, i.e., transmission rate with less computing time. We constructed a test-bed in MATLAB and carried out several analyses to demonstrate that the suggested model performs better than other parallel MCDA models because there has been a limited amount of research work conducted with CR-VANET

A comparative analysis of multi‐criteria decision methods for secure beacon selection in vehicular platoons

“…MCDM is used extensively in various disciplines including business, industries, construction and cyber security. [23][24][25][26] MCDM can handle numerical and non-numerical information, even with conflicting criteria, to identify the best choice based on available information. As such, this can be applied to the beacons used by platooning vehicles to prevent false information from being used by platooning vehicles.…”

“…TOPSIS-based methods have also been used in VANET routing protocols to improve transmission rates and reduce computing times. 26,32 Furthermore, these methods can be used to rank and select channels to transmit messages to other vehicles. Moreover, these methods can help to analyse the packets.…”

“…In doing so, it is identified that using TOPSIS can address a range of societal and environmental issues by improving channel selection within a cognitive radio (CR) Enabled Internet on Vehicle (CR-IoV). 26 Various security methods have been proposed using PKI and intrusion detection methods (IDM) to secure vehicular platoons. Moreover, MCDM methods have not been used to secure vehicle platoon communications from attacks.…”

“…Multiple‐criteria decision‐making (MCDM), also known as multiple‐criteria decision analysis, describes various methods used to make decisions in an intelligent manner. MCDM is used extensively in various disciplines including business, industries, construction and cyber security 23‐26 . MCDM can handle numerical and non‐numerical information, even with conflicting criteria, to identify the best choice based on available information.…”

Overseas Warehouse Deployment for Cross-Border E-Commerce in the Context of the Belt and Road Initiative

“…The TOPSIS is a classical multiple attribute decision making method that has been used in several fields [27,28]. For example, supply chain management [29], health, safety [30], environment management [31], energy management [32], land resource management, and other fields [33]. TOPSIS is a simple ranking method in conception and application.…”