A Scheme of Selecting Vehicles to Assist Download Based on WebGIS for VANET

Authors

  • Qibin Zhou College of International Education, Shanghai Jian Qiao University, Shanghai China
  • Qinggang Su Kaiserslautern Kolleg für Intelligente Produktion, Shanghai Dianji University, Shanghai China
  • Peng Xiong School of Electronics and Information, Shanghai Dianji University, Shanghai China

DOI:

https://doi.org/10.13052/jwe1540-9589.2129

Keywords:

assisted download, WebGIS, delay-tolerant networking, VANET

Abstract

The assisted download is an effective method solving the problem that the coverage range is insufficient when Wi-Fi access is used in VANET. For the low utilization of time-space resource within blind area and unbalanced download services in VANET, this paper proposes an approximate global optimum scheme to select vehicle based on WebGIS for assistance download. For WebGIS, this scheme uses a two-dimensional matrix to respectively define the time-space resource and the vehicle selecting behavior, and uses Markov Decision Process to solve the problem of time-space resource allocation within blind area, and utilizes the communication features of VANET to simplify the behavior space of vehicle selection so as to reduce the computing complexity. At the same time, Euclidean Distance(Metric) and Manhattan Distance are used as the basis of vehicle selection by the proposed scheme so that, in the case of possessing the balanced assisted download services, the target vehicles can increase effectively the total amount of user downloads. Experimental results show that because of the wider access range and platform independence of WebGIS, when user is in the case of relatively balanced download services, the total amount of downloads is increased by more than 20%. Moreover, WebGIS usually only needs to use Web browser (sometimes add some plug-ins) on the client side, so the system cost is greatly reduced.

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Author Biographies

Qibin Zhou, College of International Education, Shanghai Jian Qiao University, Shanghai China

Qibin Zhou, received her M.Sc. degree from Huazhong University of Science and Technology in 2013. She is the deputy director of the Information Office and the vice president of the college of International Education in Shanghai Jianqiao University now. Her present research interests include network security, data analysis, smart campus construction, etc.

Qinggang Su, Kaiserslautern Kolleg für Intelligente Produktion, Shanghai Dianji University, Shanghai China

Qinggang Su, received the B.Sc. degree in Computer Science from Anhui University of Technology in 2002, and got the M.Sc. degree in Communication Engineering in Shanghai Jiao Tong University, and is studying for Ph.D. degree at East China Normal University. He became a faculty member in the school of electronic information, Shanghai Dianji University China from 2002, and he is the vice dean of Chinesisch-Deutsche Kolleg für Intelligente Produktion of Shanghai Dianji University now. He is a member of China Computer Federation (CCF), and his research is currently focused on wireless networks, 5G application and smart manufacturing.

Peng Xiong, School of Electronics and Information, Shanghai Dianji University, Shanghai China

Peng Xiong, received the B.Sc. degree and M.Sc. degree in Electrical Engineering from Nanchang University China in 1998 and 2004, respectively, and Ph.D. degree in Computer science and technology from East China Normal University China in 2009. From 2010 on, he is a faculty member in the school of electronic information, Shanghai Dianji University China. He is a member of China Computer Federation (CCF), and his research is currently focused on network secure, wireless networks, cloud computing and big data etc.

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Published

2022-01-12

Issue

Section

Advanced Practice in Web Engineering