Internet of Things and Cloud Computing
Volume 7, Issue 1, March 2019, Pages: 12-18
Received: Dec. 24, 2018;
Accepted: Jan. 15, 2019;
Published: Feb. 4, 2019
Views 590 Downloads 105
Ying Pan, College of Physics and Electronics Information Engineering, Qinghai Nationalities University, Xining, China
Internet of vehicles (IOV) is a large interactive network composed of vehicles' position, speed, route and other information. Through global positioning system (GPS), radio frequency identification (RFID), sensor, camera image processing and other devices, the vehicle can complete its own environment and state information collection; Through Internet technology, all vehicles can transfer all kinds of information to the central processing unit (CPU). Through computer technology, this mass of vehicle information can be analyzed and processed to calculate the best route for different vehicles, timely report the road condition and so forth. The development of IOV will have a comprehensive driving effect on social construction in many aspects, such as intelligent traffic management, energy conservation, emission reduction and safe driving. In general, mature industrial base, huge consumer market and important strategic significance make the IOV become the focus of large-scale development and application of the IOV in the industry in the world, which has won strong attention from all parties. There is no strict definition for the so-called IOV. To put it simply, it is to realize the coordinated interaction of people, vehicles, roads and the environment through wireless communication and other means by taking cars as nodes in the information network, so as to realize intelligent transportation. However, since its birth, the IOV has always been faced with the lack of a unified management situation. In this paper, we studied the main technology involved in the IOV, the existing problems and so on.
Research on the Development of Internet of Vehicles Technology, Internet of Things and Cloud Computing.
Vol. 7, No. 1,
2019, pp. 12-18.
Mohamed Nahri, Azedine Boulmakoul, Lamia Karim and Ahmed Lbath. IoV distributed architecture for real-time traffic data analytics [J]. Procedia Computer Science, Volume 130, p480-487, 2018.
Danda B. Rawat, Reham Alsabet, Chandra Bajracharya and Min Song. On the performance of cognitive internet-of-vehicles with unlicensed user-mobility and licensed user-activity. Computer Networks, p98-106, 2018.
W. Y. Lei, G. C. Wu, X. X. Tao, L. Bian and X. L. Wang. BDS satellite-induced code multipath: Mitigation and assessment in new-generation IOV satellites. Advances in Space Research, v60, n12, p2672-2679, December 2017.
Ali Safa Sadiq, Suleman Khan, Kayhan Zrar Ghafoor, Mohsen Guizani and Seyedali Mirjalili. Transmission power adaption scheme for improving IoV awareness exploiting: evaluation weighted matrix based on piggybacked information. Computer Networks, v137, p147-159, June 2018.
Tao Lei, Shangguang Wang, Jinglin Li and Fangchun Yang. A cooperative route choice approach via virtual vehicle in IoV. Vehicular Communications, v9, p281-287, July 2017.
Han-Tao Zhao, Xin-Ru Liu, Xiao-Xu Chen and Jian-Cheng Lu. Cellular automata model for traffic flow at intersections in internet of vehicles. Physica A: Statistical Mechanics and its Applications, v494, p40-51, March 2018.
Neeraj Kumar, Kuljeet Kaur, Anish Jindal and Joel J. P. C. Rodrigues. Providing healthcare services on-the-fly using multi-player cooperation game theory in Internet of Vehicles (IoV) environment. Digital Communications and Networks, v1, n3, p191-203, August 2015.
Fanhui Kong, Jian Li, Bin Jiang and Houbing Song. Short-term traffic flow prediction in smart multimedia system for Internet of Vehicles based on deep belief network. Future Generation Computer Systems, v93, p460-472, April 2019.
Qinglei Kong, Rongxing Lu, Maode Ma and Haiyong Bao. A privacy-preserving sensory data sharing scheme in Internet of Vehicles. Future Generation Computer Systems, v92, p644-655, March 2019.
Ming Tao, Wenhong Wei and Shuqiang Huang. Location-based trustworthy services recommendation in cooperative-communication-enabled Internet of Vehicles. Journal of Network and Computer Applications, v126, p1-11, January 2019.
Zhao Ting, Wang Bin and Gao Qi. Congestion warning method based on the Internet of vehicles and community discovery of complex networks. The Journal of China Universities of Posts and Telecommunications, v23, n4, p37-45, August 2016.
Chen Chen, Xiaomin Liu, Tie Qiu, Lei Liu and Arun Kumar Sangaiah. Latency estimation based on traffic density for video streaming in the internet of vehicles. Computer Communications, v111, p176-186, October 2017.
Min Chen, Yuanwen Tian, Giancarlo Fortino, Jing Zhang and Iztok Humar. Cognitive Internet of Vehicles. Computer Communications, v120, p58-70, May 2018.
Bindiya Jain, Gursewak Brar, Jyoteesh Malhotra, Shalli Rani and Syed Hassan Ahmed. A cross layer protocol for traffic management in Social Internet of Vehicles. Future Generation Computer Systems, v82, p707-714, May 2018.
Chen Chen, Hongyu Xiang, Tie Qiu, and etc. A rear-end collision prediction scheme based on deep learning in the Internet of Vehicles. Journal of Parallel and Distributed Computing, v117, p192-204, July 2018.