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
PY - 2020/6/25
Y1 - 2020/6/25
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.
U2 - 10.1109/JSEN.2020.3004839
DO - 10.1109/JSEN.2020.3004839
M3 - Article
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
SN - 1530-437X
ER -