Abstract
Safe driving is a vital component of automotive industry. According to WHO’s report, 1.2 million deaths occurred each year on account of road accidents indicating an exponential increase in the number of fatalities year by year due to the increment of vehicles on the road. The avoidance of possible road accidents, minimization of carbon emission, efficient fuel consumption, enhanced driver safety and comfort, identification of faster routes, saving resources are the prospects of automobile manufacturers and research. The ability of vehicle communication with other vehicles and other elements could significantly upgrade the safety and driving systems. Thus, it is much needed to build an intelligent transport system (ITS) with aid of the Internet of Things (IoT) in the form of the Internet of Vehicles (IoV) for the vehicular grid. The objective of IoV is to connect a global network and communicating with each other by enabling high mobility, safety-critical applications, vehicle-to-vehicle (V2V) communication, security, and privacy.
IoV is also termed a vehicle ad-hoc network (VANET), which consists of a sensing platform, networking platform, and application platform. The sensing platform consists of internal sensors like brakes, accelerator, driver’s state of health (Ford heart monitor seat), and so on and external sensors like GPS, cameras, Lidar, and so on. The principle working of networking platform ensures connectivity of vehicular communication technologies such as WAVE, DSRC, Bluetooth, ZigBee, GSM, 3G, LTE, 5G between V2I (Vehicle to Infrastructure), V2V, V2P (vehicle to pedestrian), V2S (vehicle to sensors). The application platform does the processing of inputs received via communication tools and takes decisions such as weather forecast, traffic management, electronic toll collection, parking assistance. All these functions from efficient communication to processing the correct decisions via these platforms specifically designed for vehicles are called Vehicle Cloud. A vehicle cloud can compute intelligent routing, deliver security and privacy of each data, and validate the crowdsourced information. This chapter covers the description regarding the above topics, future challenges in understanding the connectivity of vehicles, enhancing technologies, and network architecture of IoV. At the end of the chapter, the future of IoV is also presented and discussed.
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References
Joy, J., Rabsatt, V., & Gerla, M. (2018). Internet of vehicles: Enabling safe, secure, and private vehicular crowdsourcing. Internet Technology Letters, 1(1), e16. doi: 10.1002/itl2.16.
Vijayaraghavan, V., & Leevinson, J. R. (2020). Intelligent traffic management systems for next generation IoV in smart city scenario. In Connected vehicles in the internet of things (pp. 123–141). Springer. https://doi.org/10.1007/978-3-030-36167-9_6
da Silva Barbosa, F. E., de Mendonça Júnior, F. F., & Dias, K. L. (2020). A platform for cloudification of network and applications in the internet of vehicles. Transactions on Emerging Telecommunications Technologies, 31(5), e3961. https://doi.org/10.1002/ett.3961
Ghanshala, K. K., Sharma, S., Mohan, S., & Joshi, R. C. (2018, November). Cloud-based cognitive radio adhoc vehicular network architecture: A next-generation smart city. In 2018 IEEE 9th annual information technology, electronics and Mobile communication conference (IEMCON) (pp. 145–150). IEEE. doi: https://doi.org/10.1109/IEMCON.2018.8614995.
Sharma, S., Muhammad, A. W. A. N., & Mohan, S. (2018). U.S. patent application no. 15/705,542.
Guerrero-Ibáñez, J. A., Flores-Cortés, C., & Zeadally, S. (2013). Vehicular ad-hoc networks (vanets): Architecture, protocols and applications. In Next-generation wireless technologies (pp. 49–70). Springer. https://doi.org/10.1007/978-1-4471-5164-7_5.
Sharma, S., & Mohan, S. (2016, November). Cognitive radio adhoc vehicular network (CRAVENET): Architecture, applications, security requirements and challenges. In 2016 IEEE international conference on advanced networks and telecommunications systems (ANTS) (pp. 1–6). IEEE. doi: https://doi.org/10.1109/ANTS.2016.7947842.
Sharma, S., & Mohan, S. (2020). Cloud-based secured VANET with advanced resource management and IoV applications. In Connected vehicles in the internet of things (pp. 309–325). Springer, Cham. . https://doi.org/10.1007/978-3-030-36167-9_11.
Yang, F., Wang, S., Li, J., Liu, Z., & Sun, Q. (2014). An overview of internet of vehicles. China Communications, 11(10), 1–15. https://doi.org/10.1109/CC.2014.6969789
Mahmood, Z. (2020). Connected vehicles in the IoV: Concepts, technologies and architectures. In Connected vehicles in the internet of things (pp. 3–18). Springer. https://doi.org/10.1007/978-3-030-36167-9_1
Mayilsamy, K., Ramachandran, N., & Raj, V. S. (2018). An integrated approach for data security in vehicle diagnostics over internet protocol and software update over the air. Computers & Electrical Engineering, 71, Elsevier, Print ISSN: 0045-7906 E-ISSN:1879-0755.
Kathiresh, M., & Varun, C. (2014). Automotive ethernet in on-board diagnosis (Over IP) and in-vehicle Networking, International Conference on Embedded Systems, Amrita Vishwa Vidyapeetham, Coimbatore and published in IEEE Explorer. ISBN 978-1-4799-5026-9.
Kathiresh, M., Neelaveni, R., Benny, M. A., & Moses, B. J. S. (2021). Vehicle diagnostics over internet protocol and over-the-air updates. In M. Kathiresh & R. Neelaveni (Eds.), Automotive embedded systems. EAI/Springer innovations in communication and computing. Springer. https://doi.org/10.1007/978-3-030-59897-6_5.
Jadhav, A. (2021). Automotive cybersecurity. In M. Kathiresh & R. Neelaveni (Eds.), Automotive embedded systems. EAI/Springer innovations in communication and computing. Springer. https://doi.org/10.1007/978-3-030-59897-6_6.
Janeera, D. A., Gnanamalar, S. S. R., Ramya, K. C., & Kumar, A. G. A. (2021). Internet of things and artificial intelligence-enabled secure autonomous vehicles for smart cities. In M. Kathiresh & R. Neelaveni (Eds.), Automotive embedded systems. EAI/Springer innovations in communication and computing. Springer. https://doi.org/10.1007/978-3-030-59897-6_11.
Flavio, B. (2013). The smart and connected vehicle and the internet of things. WSTS.
Kaiwartya, O., Abdullah, A. H., Cao, Y., Altameem, A., Prasad, M., Lin, C. T., & Liu, X. (2016). Internet of vehicles: Motivation, layered architecture, network model, challenges, and future aspects. IEEE Access, 4, 5356–5373. https://doi.org/10.1109/ACCESS.2016.2603219
Alouache, L., Nguyen, N., Aliouat, M., & Chelouah, R. (2018, April). Toward a hybrid SDN architecture for V2V communication in IoV environment. In 2018 fifth international conference on software defined systems (SDS) (pp. 93–99). IEEE. https://doi.org/10.1109/SDS.2018.8370428
Vinoth, K. K. (2021). Model-based automotive software development. In M. Kathiresh & R. Neelaveni (Eds.), Automotive embedded systems. EAI/Springer innovations in communication and computing. Springer. https://doi.org/10.1007/978-3-030-59897-6_4.
Contreras-Castillo, J., Zeadally, S., & Guerrero Ibáñez, J. A. (2017). A seven-layered model architecture for internet of vehicles. Journal of Information and Telecommunication, 1(1), 4–22. https://doi.org/10.1080/24751839.2017.1295601
Gandotra, P., Jha, R. K., & Jain, S. (2017). A survey on device-to-device (D2D) communication: Architecture and security issues. Journal of Network and Computer Applications, 78, 9–29. https://doi.org/10.1016/j.jnca.2016.11.002
Kang, L., Li, J., Li, X., Wang, W., Zhang, Y., & Poslad, S. (2015). A traffic-aware resource allocation scheme for internet of vehicles: A supply and demand function approach. J. Computational Information Systems, 11(3), 987–994. https://doi.org/10.12733/jcis13115
Darwish, T. S., & Bakar, K. A. (2018). Fog based intelligent transportation big data analytics in the internet of vehicles environment: Motivations, architecture, challenges, and critical issues. IEEE Access, 6, 15679–15701. https://doi.org/10.1109/ACCESS.2018.2815989
Marz, N., & Warren, J. (2015). Big data: Principles and best practices of scalable real-time data systems. Manning Publications Co.. Print ISBN: 9781617290343.
Kathiresh, M., Neelaveni, R., & Abinesh, S. 2014. Analysis of multi-core architecture for automotive applications. In International conference on embedded systems, Amrita Vishwa Vidyapeetham, Coimbatore and published in IEEE Explorer. ISBN 978–1–4799-5026-3.
Zhou, H., Xu, W., Chen, J., & Wang, W. (2020). Evolutionary V2X technologies toward the internet of vehicles: Challenges and opportunities. Proceedings of the IEEE, 108(2), 308–323.
Shen, X., Cheng, X., Zhang, R., Jiao, B., & Yang, Y. (2013). Distributed congestion control approaches for the IEEE 802.11 p vehicular networks. IEEE Intelligent Transportation Systems Magazine, 5(4), 50–61. https://doi.org/10.1109/MITS.2013.2279176
Mosyagin, J. (2010, June). Using 4G wireless technology in the car. In 2010 12th international conference on transparent optical networks (pp. 1–4). IEEE. doi: https://doi.org/10.1109/ICTON.2010.5549094.
Araniti, G., Campolo, C., Condoluci, M., Iera, A., & Molinaro, A. (2013). LTE for vehicular networking: A survey. IEEE Communications Magazine, 51(5), 148–157. https://doi.org/10.1109/MCOM.2013.6515060
Thota, J., Almesaeed, R., Doufexi, A., Armour, S., & Nix, A. R. (2015, May). Infrastructure to vehicle throughput performance in LTE-A using 2D and 3D 3GPP/ITU Channel models. In 2015 IEEE 81st vehicular technology conference (VTC spring) (pp. 1–5). IEEE. doi: https://doi.org/10.1109/VTCSpring.2015.7145880.
Yang, Y., Hu, H., Xu, J., & Mao, G. (2009). Relay technologies for WiMAX and LTE-advanced mobile systems. IEEE Communications Magazine, 47(10), 100–105. https://doi.org/10.1109/MCOM.2009.5273815
Sukuvaara, T., & Pomalaza-Ráez, C. (2009). Vehicular networking pilot system for vehicle-to-infrastructure and vehicle-to-vehicle communications. International Journal of Communication Networks and Information Security, 1(3), 1.
Naboulsi, D., & Fiore, M. (2013, July). On the instantaneous topology of a large-scale urban vehicular network: The cologne case. In Proceedings of the fourteenth ACM international symposium on mobile ad hoc networking and computing (pp. 167–176). doi: https://doi.org/10.1145/2491288.2491312.
Ghaffarian, H., Fathy, M., & Soryani, M. (2012). Vehicular ad hoc networks enabled traffic controller for removing traffic lights in isolated intersections based on integer linear programming. IET Intelligent Transport Systems, 6(2), 115–123. https://doi.org/10.1049/iet-its.2010.0207
Abbas, M. T., Jibran, M. A., Afaq, M., & Song, W. C. (2020). An adaptive approach to vehicle trajectory prediction using multimodel Kalman filter. Transactions on Emerging Telecommunications Technologies, 31(5), e3734. https://doi.org/10.1002/ett.3734
Antony, M. M., & Whenish, R. (2021). Advanced driver assistance systems (ADAS). In M. Kathiresh & R. Neelaveni (Eds.), Automotive embedded systems. EAI/Springer innovations in communication and computing. Springer. https://doi.org/10.1007/978-3-030-59897-6_9.
Liu, K., Xu, X., Chen, M., Liu, B., Wu, L., & Lee, V. C. (2019). A hierarchical architecture for the future internet of vehicles. IEEE Communications Magazine, 57(7), 41–47.
Atif, Y., Kharrazi, S., Jianguo, D., & Andler, S. F. (2020). Internet of things data analytics for parking availability prediction and guidance. Transactions on Emerging Telecommunications Technologies, 31(5), e3862. https://doi.org/10.1002/ett.3862
Malik, K. R., Ahmad, M., Khalid, S., Ahmad, H., Al-Turjman, F., & Jabbar, S. (2020). Image and command hybrid model for vehicle control using internet of vehicles. Transactions on Emerging Telecommunications Technologies, 31(5), e3774. https://doi.org/10.1002/ett.3774
Sun, Y., Bi, Y., Han, Y., Xie, D., & Li, R. (2020). Research on safe driving behavior of transportation vehicles based on vehicle network data mining. Transactions on Emerging Telecommunications Technologies, 31(5), e3772. https://doi.org/10.1002/ett.3772
Hamsini, S., & Kathiresh, M. (2021). Automotive safety systems. In M. Kathiresh & R. Neelaveni (Eds.), Automotive embedded systems. EAI/Springer innovations in communication and computing. Springer. https://doi.org/10.1007/978-3-030-59897-6_1.
Naeem, M., Ejaz, W., Iqbal, M., Iqbal, F., Anpalagan, A., & Rodrigues, J. J. (2020). Efficient scheduling of video camera sensor networks for IoT systems in smart cities. Transactions on Emerging Telecommunications Technologies, 31(5), e3798. https://doi.org/10.1002/ett.3798
Chen, C. M., Xiang, B., Liu, Y., & Wang, K. H. (2019). A secure authentication protocol for internet of vehicles. IEEE Access, 7, 12,047–12,057.
Shirley, D. R. A., Sundari, V. K., Sheeba, T. B., & Rani, S. S. (2021). Analysis of IoT-enabled intelligent detection and prevention system for drunken and juvenile drive classification. In M. Kathiresh & R. Neelaveni (Eds.), Automotive embedded systems. EAI/Springer innovations in communication and computing. Springer. https://doi.org/10.1007/978-3-030-59897-6_10.
Ansari, S., Ahmad, J., Aziz Shah, S., Kashif Bashir, A., Boutaleb, T., & Sinanovic, S. (2020). Chaos-based privacy preserving vehicle safety protocol for 5G connected autonomous vehicle networks. Transactions on Emerging Telecommunications Technologies, 31(5), e3966. https://doi.org/10.1002/ett.3966
Shen, X., Fantacci, R., & Chen, S. (2020). Internet of vehicles. Proceedings of the IEEE, 108(2), 242–245.
Dutta, A. K., Elhoseny, M., Dahiya, V., & Shankar, K. (2020). An efficient hierarchical clustering protocol for multihop internet of vehicles communication. Transactions on Emerging Telecommunications Technologies, 31(5), e3690. https://doi.org/10.1002/ett.3690
Tigadi, A. S., Changappa, N., Singhal, S., & Kulkarni, S. (2021). Autonomous vehicles: Present technological traits and scope for future innovation. In M. Kathiresh & R. Neelaveni (Eds.), Automotive embedded systems. EAI/Springer innovations in communication and computing. Springer. https://doi.org/10.1007/978-3-030-59897-6_7.
Priyan, M. K., & Devi, G. U. (2019). A survey on internet of vehicles: Applications, technologies, challenges and opportunities. International Journal of Advanced Intelligence Paradigms, 12(1–2), 98–119. https://doi.org/10.1504/IJAIP.2019.096957
Sharma, S., & Kaushik, B. (2019). A survey on internet of vehicles: Applications, security issues & solutions. Vehicular Communications, 20, 100182.
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Santhakumar, G., Whenish, R. (2022). Internet of Vehicles. In: Kathiresh, M., Kanagachidambaresan, G.R., Williamson, S.S. (eds) E-Mobility. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-85424-9_14
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