Abstract
Vehicle-to-vehicle (V2V) communication is an advance application and thrust area of research. In the current research, the authors highlighted the technologies which are used in V2V communication systems. Advantage of such technology is that it helps to detect live location and tolling. It plays an important role if there are huge amount of traffic. The current research work can obtain more information about Li-Fi, RFID, VANET, and LORAWAN technology. Li-Fi is known as VLC communication system that uses visible light for high data transmission and reception. RFID technology helps the emergency vehicle to reach destination quickly by avoiding any kind of traffic. LORAWAN is a large-scale network technology with a long range and VANET with low power that allows to obtain accurate traffic information on each route and this saves time. The comparison between the different technologies is reviewed in order to obtain the optimized technology as per the applications.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Chavhan S, Gupta D, Chandana BN, Khanna A, Rodrigues JJ (2019) IoT-based context-aware intelligent public transport system in a metropolitan area. IEEE Internet Things J
George R, Vaidyanathan S, Rajput AS, Deepa K (2019) LiFi for vehicle to vehicle communication–a review. Procedia Comput Sci 165:25–31
Uddin MJ et al (2009) Design and application of radio frequency identification systems. Eur J Sci Res 33(3):438–453
Wyld DC (2006) RFID 101: the next big thing for management. Manage Res News
Ullah H et al (2019) 5G communication: an overview of vehicle-to-everything, drones, and healthcare use-cases. IEEE Access 7:37251–37268
Adelantado F, Vilajosana X, Tuset-Peiro P, Martinez B, Melia-Segui J, Watteyne T (2017) Understanding the limits of LoRaWAN. IEEE Commun Mag 55(9):34–40
Reynders B, Wang Q, Pollin S (2018) A LoRaWAN module for ns-3: implementation and evaluation. In: Proceedings of the 10th workshop on ns-3, pp 61–68
Syed MSB et al (2020) IoT based emergency vehicle communication system. In: 2020 International conference on information science and communication technology (ICISCT). IEEE, pp 1–5
Sharma S et al (2018) A security system using deep learning approach for internet of vehicles (IoV). In:2018 9th IEEE annual ubiquitous computing, electronics and mobile communication conference (UEMCON). IEEE, pp 1–5
Gupta N et al (2020) SDNFV 5G-IoT: a framework for the next generation 5G enabled IoT. In: 2020 International conference on advances in computing, communication and materials (ICACCM). IEEE, pp 289–294
Sharma S et al (2019) Blockchain-based internet of vehicles (IoV): an efficient secure Ad Hoc vehicular networking architecture. In: 2019 IEEE 2nd 5G world forum (5GWF). IEEE, pp 452–457
Sharma S, Mohan S (2020) Cloud-based secured VANET with advanced resource management and IoV applications. In: Connected vehicles in the internet of things. Springer, Cham, pp 309–325
Sharma S et al (2019) Advanced spectrum management for next-generation vehicular communication: an AI approach. In: 2019 IEEE 10th annual information technology, electronics and mobile communication conference (IEMCON). IEEE, pp 0632–0637
Sharma S et al (2018) Smart vehicular hybrid network systems and applications of same. U.S. Patent application 15/705,542, filed March 29
Sharma S, Mohan S (2016) Dynamic spectrum leasing methodology (DSLM): a game theoretic approach. In: 2016 IEEE 37th Sarnoff symposium. IEEE, pp 43–46
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Agarwal, V., Sharma, S., Agarwal, P. (2021). IoT Based Smart Transport Management and Vehicle-to-Vehicle Communication System. In: Pandian, A., Fernando, X., Islam, S.M.S. (eds) Computer Networks, Big Data and IoT. Lecture Notes on Data Engineering and Communications Technologies, vol 66. Springer, Singapore. https://doi.org/10.1007/978-981-16-0965-7_55
Download citation
DOI: https://doi.org/10.1007/978-981-16-0965-7_55
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-0964-0
Online ISBN: 978-981-16-0965-7
eBook Packages: EngineeringEngineering (R0)