DDGS: A Network Coding Scheme for Dynamic Adaptation to Heterogeneous Vehicular Networks

Abstract

The rapid development of the transportation industry has brought about the demand for massive data transmission. In order to make use of a large number of heterogeneous network resources in vehicular network, the research of applying network coding to multipath transmission has become a hot topic. Network coding can better solve the problems of packet reordering and low aggregation efficiency. The determination of coding scale is the key to network coding scheme. However, the existing research cannot adapt to the different characteristics of network resources in vehicular network, leading to larger decoding time cost and lower bandwidth aggregation efficiency. In this paper, we propose a network coding scheme called Delay Determined Group Size (DDGS), which could adaptively adjust the coding group according to the heterogeneous wireless networks state. The mathematical analysis and process design of the DDGS scheme are discussed in detail. Through a large number of simulations, we proved that the DDGS scheme is significantly superior to other coding group determination schemes in terms of decoding time cost and bandwidth aggregation efficiency.

Dynamic Cooperative Cache Management Scheme Based on Social and Popular Data in Vehicular Named Data Network

“…With the rapid development in the vehicular population [1], many applications and services are merged to provide desired data to the requester's vehicle. In this concern, the VANETs become in this race with the modifying version of Mobile Ad hoc Networks (MANETs) [2], which is aimed at improving the communication in moving vehicles and covering the large-scale traffic environment. Increasing wireless content traffic has a great burden on VENETs.…”