TY - JOUR
T1 - Leveraging ICN with Network Sensing for Intelligent Transportation Systems
T2 - A Dynamic Naming Approach
AU - Wang, Chen
AU - Wu, Jun
AU - Zheng, Xi
AU - Pei, Bei
AU - Zhang, Xuyun
AU - Yu, Dongjin
AU - Tang, Junhua
N1 - Funding Information:
She is currently the Director of the Scientific Research Project of the Third Research Institute of the Ministry of Public Security. As a member of the research team, she has participated in many national or ministerial research projects and developed rich practical experience and in-depth theoretical research in network security recognition.
Funding Information:
Manuscript received April 29, 2020; revised June 9, 2020; accepted June 17, 2020. Date of publication June 25, 2020; date of current version July 14, 2021. This work was supported in part by the National Natural Science Foundation of China under Grant 61972255 and in part by the Key Laboratory of Information Network Security, Ministry of Public Security, China. The associate editor coordinating the review of this article and approving it for publication was Dr. Varun G Menon. (Corresponding authors: Jun Wu; Bei Pei.) Chen Wang and Jun Wu are with the Institute of Cyber Science and Technology, Shanghai Jiao Tong University, Shanghai 200240, China (e-mail: sjtuwcc0726@sjtu.edu.cn; junwuhn@sjtu.edu.cn).
Publisher Copyright:
© 2001-2012 IEEE.
PY - 2021/7/15
Y1 - 2021/7/15
N2 - The network sensing and tracking over the huge transportation network composed of a large number of vehicles and facilities are the basic functions of the Intelligent Transportation Systems, which is an important component of the Smart City. In the transportation network supported by the Information-Centric Network, the traditional static naming is adopted, and the track function is completed at the application layer. At the same time, a large amount of network status information that is continuously sensed consumes routing space. This paper proposes a Dynamic Naming approach to sense the Intelligent Transportation Systems network. It uses dynamic naming to describe the status of the changeable objects in the Intelligent Transportation Systems network sensed by the system, and adopts a block centralized storage structure to organize the routing table, which reduces redundant information and makes full use of routing space and historical routing information for network sensing. The Dynamic Naming approach shortens the query time, improves the efficiency of network sensing, and provides a new solution at the routing level to sense and track the status of dynamic objects in Intelligent Transportation Systems.
AB - The network sensing and tracking over the huge transportation network composed of a large number of vehicles and facilities are the basic functions of the Intelligent Transportation Systems, which is an important component of the Smart City. In the transportation network supported by the Information-Centric Network, the traditional static naming is adopted, and the track function is completed at the application layer. At the same time, a large amount of network status information that is continuously sensed consumes routing space. This paper proposes a Dynamic Naming approach to sense the Intelligent Transportation Systems network. It uses dynamic naming to describe the status of the changeable objects in the Intelligent Transportation Systems network sensed by the system, and adopts a block centralized storage structure to organize the routing table, which reduces redundant information and makes full use of routing space and historical routing information for network sensing. The Dynamic Naming approach shortens the query time, improves the efficiency of network sensing, and provides a new solution at the routing level to sense and track the status of dynamic objects in Intelligent Transportation Systems.
KW - Dynamic naming
KW - information-centric network
KW - intelligent transportation systems
KW - network sensing
UR - http://www.scopus.com/inward/record.url?scp=85098795155&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85098795155&partnerID=8YFLogxK
U2 - 10.1109/JSEN.2020.3004839
DO - 10.1109/JSEN.2020.3004839
M3 - Article
AN - SCOPUS:85098795155
SN - 1530-437X
VL - 21
SP - 15875
EP - 15884
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 14
M1 - 9125893
ER -