Nakazawa, T.; Tang, S.; Obana, S. CCN-Based Inter-Vehicle Communication for Efficient Collection of Road and Traffic Information. Electronics2020, 9, 112.
Nakazawa, T.; Tang, S.; Obana, S. CCN-Based Inter-Vehicle Communication for Efficient Collection of Road and Traffic Information. Electronics 2020, 9, 112.
Nakazawa, T.; Tang, S.; Obana, S. CCN-Based Inter-Vehicle Communication for Efficient Collection of Road and Traffic Information. Electronics2020, 9, 112.
Nakazawa, T.; Tang, S.; Obana, S. CCN-Based Inter-Vehicle Communication for Efficient Collection of Road and Traffic Information. Electronics 2020, 9, 112.
Abstract
Recently, inter-vehicle communication, which helps to avoid collision accidents (by driving safety support system) and facilitate self-driving (by dissemination of road and traffic information), has attracted much attention. In this paper, in order to efficiently collect road / traffic information in the request / response manner, first a basic method, Content-centric network (CCN) for Vehicular network (CV), is proposed, which applies CCN cache function to inter-vehicle communication. Content naming and routing, which take vehicle mobility into account, are investigated. On this basis, the CV method is extended (named as ECV) to avoid the cache miss problem caused by vehicle movement, and is further enhanced (named as ECV+) to more efficiently exploit cache buffer in vehicles, caching content according to a probability decided by channel usage rate. Extensive evaluations on network simulator Scenargie, with realistic open street map, confirm that the CV method and its extensions (ECV, ECV+) effectively reduce the average number of hops of data packets (by up to 47%, 63%, 83% respectively) and greatly improve the content acquisition success rate (by up to 356%, 444%, 689%, respectively), compared to the method without cache mechanism.
Keywords
inter-vehicle communication; content-centric network; cache miss
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
