Abstract
Decision-making is of critical significance in Internet-of-Vehicles (IoV), where vehicles need to quickly make decisions in real-time when sharing or transferring the information. In addition, it is necessary to identify the significant factors of an entity while measuring its legitimacy or to record the real-time data generated by it. Traditional automated schemes in IoV are confronted by the issues related to real-time processing and the manner they respond, such as traffic congestion information, fastest route selection, and road accidental information. The exchange of accurate information among vehicles is critical, but the decision-making for IoV has still not been fully investigated in the literature. Further, the involvement of malicious devices in the network may disgrace the network performance by consuming network resources. In this paper, we propose a hybrid decision-making scheme in vehicular informatics for data transferring and processing through VIKOR and analytic hierarchy process (AHP) methods. The proposed model is scrutinized and verified rigorously through several sensing and decision-making metrics against a conventional solution. The simulation results depict that the proposed model leads to 93 percent competence in terms of decision-making, identification of legitimate sensors, and data alteration process when sharing the information through various sensors in IoV.
Highlights
The internet-of-things (IoT) is an umbrella term for recent wireless applications or technologies that comprise processing, sensing, managing, and controlling of a huge amount of information for service-based or application-based developments [1]
Vehicular technologies has led to the combination of several techniques like IoV, VANETs, and cloud, forming an IoV computing environment to deal with various problems that may occur on roads due to congestion and other traffic issues in real-time [5]
PAPER CONTRIBUTION We propose an intelligent decision-making framework that can secure the information shared among vehicles in the IoV network using VIKOR and analytic hierarchy process (AHP) methods [17], [18]
Summary
The internet-of-things (IoT) is an umbrella term for recent wireless applications or technologies that comprise processing, sensing, managing, and controlling of a huge amount of information for service-based or application-based developments [1]. Though some studies have proposed security techniques/frameworks for IoV, very few of them have focused on real-time decision-making, node monitoring, and sharing/transferring of information through smart devices [14]–[16]. B. PAPER CONTRIBUTION We propose an intelligent decision-making framework that can secure the information shared among vehicles in the IoV network using VIKOR and analytic hierarchy process (AHP) methods [17], [18]. The proposed work further leads to storage and communication overhead issues To resolve these problems, we represent a multi-decision framework based on VIKOR and AHP that can resolve these security problems, manage the information, and efficiently store communication activities in the network. The combination of VIKOR and AHP for intelligent decision-making in IoV results in better sensing, generating, sharing, and transferring of sensitive information by the smart devices.
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