Mobile perception cooperative caching method based on consistent hash under vehicle-mounted content center network

Abstract

The invention belongs to the technical field of vehicle-mounted content center networks, and provides a mobile perception cooperative caching method based on consistent hash under a vehicle-mounted content center network. A RSU predicts the most likely arrival position of a vehicle in the next time slice according to the historical moving paths of the vehicle, and then divides the vehicles which are currently located in the same block and have the same predicted destination into one group. The RSU forms a hash ring by the vehicles in the group through consistent hash and configures the virtualnodes in a weighted manner, and broadcasts the hash ring to each vehicle, thereby forming a mapping relationship between the content and the vehicles. Each vehicle makes a cache decision according tothe popularity after receiving the content, and the content mapped to the current vehicle through consistent hash can obtain additional popularity addition. Finally, the vehicle forwards the replacedcontent to a proper neighbor node so as to share the cache load.

Description

technical field [0001] The invention relates to a mobile perception cooperative caching method based on consistent hashing in a vehicle-mounted content center network, and belongs to the technical field of vehicle-mounted content center networks. Background technique [0002] Vehicular ad-hoc network (VANET) is a special type of mobile ad-hoc network, which includes a number of fixed infrastructure and vehicles. In VANET, each vehicle can communicate with other vehicles or fixed roadside base units. In the past few decades, VANET has gradually become a source-independent content sharing platform, that is, VANET focuses more on the content itself than the actual carrier of the content. Content-oriented applications cover different fields such as entertainment, sports, shopping, etc. In order to meet the content-oriented characteristics of VANET, a new network structure - content-centric networking (CCN) is proposed. Unlike IP networks, content names are fundamental element...

AI Technical Summary

Problems solved by technology

Since each vehicle makes a cache decision based on its own cache strategy, content with a large number of requests and high popularity will be cached by a large number of vehicles at the same time, which essentially causes cache redundancy and waste of cache space.

At the same time, considering the different caching capabilities of each node, the system lacks a manager or corresponding management mechanism for coordinating cache resources, which may lead to unbalanced cache load

Images