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Introduction and Background Study
Published in Sanjeev J. Wagh, Manisha Sunil Bhende, Anuradha D. Thakare, Energy Optimization Protocol Design for Sensor Networks in IoT Domains, 2023
Sanjeev J. Wagh, Manisha Sunil Bhende, Anuradha D. Thakare
It is becoming more popular these days. The key components of such a city are intelligent items with a CPU and a transceiver device to connect with another [7]. These intelligent items have the potential to create a secure and intelligent environment. This situation is also known as the IoT. The Internet of vehicles (IoV) is a subclass of IoT that will make transportation systems more sophisticated. There are three possible ways for communication in IoV like vehicles to vehicles (V2V), vehicles to infrastructure (V2I), and infrastructure to infrastructure (I2I) [8]. VANETs are utilized in a variety of applications, including identification of vehicle speed, avoidance of traffic jam, optimal route, and V2V communication. IoVs are made up of several volumes of vehicles and some wayside stations that can be used for remote operations in an ad hoc or cellular fashion. Vehicles' movement, orientation, and unstable topology are heavily constrained.
SRv6 for 5G
Published in Zhenbin Li, Zhibo Hu, Cheng Li, SRv6 Network Programming, 2021
Zhenbin Li, Zhibo Hu, Cheng Li
IoV is a dynamic mobile communications system involving interaction between vehicles, vehicles and roads, vehicles and people, and vehicles and sensor devices. In short, it enables vehicles to communicate with public networks and provides the following functions: Collects information about vehicles, roads, and environments for information sharing through connections between vehicles, between vehicles and people, and between vehicles and sensor devices.Processes, calculates, shares, and securely releases the information collected from multiple sources on the information network platform.Effectively guides and monitors vehicles based on different function requirements.Provides professional multimedia and mobile Internet application services.
Internet of Things
Published in Matthew N.O. Sadiku, Emerging Internet-Based Technologies, 2019
As more and more people drive cars and vehicles, there is a corresponding increase in the number of fatalities that occur due to accidents. As these vehicles are increasingly being connected to the IoT, they form the IoV. Thus, IoV is the convergence of the mobile Internet and IoT. It is an emerging field for the automotive industry and an important part of the smart cities. The new area of IoT is driving the evolution of conventional vehicle ad-hoc networks in IoV. IoV technology refers to dynamic mobile communication systems that communicate between vehicles and public networks using V2V (vehicle-to-vehicle), and (vehicle-to-sensor) interactions. Research on IoV is carried out by different enterprises and organizations. Challenges facing IoV and slowing down its adoption include big data, security, privacy, reliability, mobility, and standards [15].
A dynamic key management and secure data transfer based on m-tree structure with multi-level security framework for Internet of vehicles
Published in Connection Science, 2022
Nowadays, many countries are continually investing in autopilot and driverless vehicle research. The 5G is going to encourage us to evolve into the leading driving technology for autopilot and driverless vehicles. IoV is a mass-connected network, which integrates the necessary information like vehicle speed, route and location. The vehicle can supplement the collection of its own information about the status and environmental information through sensors, GPS, radars, cameras and image processing devices. Thanks to cloud computing technology, diverse IoV information transmissions are combined with each computer in a vehicle to measure, analyze and process a vast quantity of data. Afterwards, the vehicles find the best path or the possible path, and report the status of the road condition to the control centre immediately. The monitoring system may programme the traffic signal cycle, depending on the real-time traffic conditions to reduce the traffic bottleneck.
Storage and access optimization scheme based on correlation probabilities in the internet of vehicles
Published in Journal of Intelligent Transportation Systems, 2020
Zhou Bin, Yuhao Yao, Xiao Liu, Rongbo Zhu, Arun Kumar Sangaiah, Maode Ma
IoV integrates traditional embedded systems, geographic information systems, mobile Internet, and modern network communication technologies, organically linking various elements such as physical surroundings, weather, communication, people, vehicles, roads, and networks (Salahuddin, Al-Fuqaha, & Guizani, 2014; Anand, Ramadurai, & Vanajakshi, 2014). IoV uses vehicle-mounted sensor technologies, such as global positioning system (GPS) vehicle terminals and on-board diagnostic (OBD) terminals, to collect real-time data such as longitude, latitude, speed, direction, speed, water temperature, and engine operating status, exhaust system status, and fault information during vehicle travel (Uno, Kurauchi, Tamura, & Iida, 2009; Bento, Parafita, Rakha, & Nunes, 2019). In combination with road conditions, weather, and other situational information, an intelligent analysis of the driving behavior, consumption trends, personality traits and driving safety of individuals, and computer-aided driving, automatic driving and other popular applications has become possible (Milakis, Arem, & Wee, 2017).
A Set of Experience-Based Smart Synergy Security Mechanism in Internet of Vehicles
Published in Cybernetics and Systems, 2019
Fei Li, Haoxi Zhang, Lulu Gao, Juan Wang, Cesar Sanin, Edward Szczerbicki
With the rapid development of information, computation, and communication technologies, an increasing number of vehicles are connected to the Internet of Things (IoT), and the original concept of vehicular ad-hoc networks is being transformed into a new concept called the Internet of Vehicles (IoV) (Contreras, Zeadally, and Guerrero-Ibanez 2017; Guo et al. 2017). The IoV offers a wireless communication environment that allows vehicles to exchange information related to traffic (such as vehicle location, driven route, speed, traffic incidents). In recent years, IoV has been not only a technology promoted by many countries around the world, but also an area in which car companies invest in developing related products (Wu and Horng 2017). However, security risks come along with adding in-vehicle interactive information systems and connecting vehicles to the Internet. Vehicles operating in open and unprotected environments can become very vulnerable to cyberattacks. Hackers can search for vulnerable connection points and manipulate vehicular data streams for malicious purposes (Koscher et al. 2010; Contreras, Zeadally, and Guerrero-Ibanez 2017).