Distributed Gateway Selection for Video Streaming in VANET Using IP Multicast

Abstract

The volume of video traffic as infotainment service over vehicular ad hoc network (VANET) has rapidly increased for past few years. Providing video streaming as VANET infotainment service is very challenging because of high mobility and heterogeneity of vehicular networks. While the number of mobile gateways (vehicles connected to the Internet) needs to be minimized to reduce service cost, the streaming quality also needs to be satisfactory for end-users. Existing works either focus on gateway minimization or focus on enhancing user satisfaction. We propose a video streaming solution, namely, DGSVS, which does gateway minimization with the constrained time data delivery to end-users. We formulate our constrained gateway minimization problem as minimum set covering (MSC) problem and solve with a distributed approximation method for MSC. We assume that only a subset of vehicles in VANET run DGSVS application. Therefore, instead of application layer cooperation for gateway-client association, network layer cooperation is proposed. We propose a novel multicast protocol DSS-CAST for this purpose, which is specialized in streaming data distribution for dynamic scenarios. We compare the performance of DGSVS with other existing protocols and found that DGSVS is most effective in service cost minimization while it is able to achieve competitive QoE performance.

A Survey on Video Streaming for Next-Generation Vehicular Networks

“…In alignment with the global trend, CISCO anticipates that a substantial portion of infotainment application traffic will comprise video traffic in the foreseeable future. Consequently, onboard video infotainment applications, including live sports streaming and video conferences, are poised to become pivotal applications within vehicular networks [50].…”

“…They devised a cluster head selection algorithm to enhance the service quality. Chowdhury et al [50] investigated minimizing the gateway placement for video streaming in vehicular networks, aiming to reduce service costs.…”

“…Significant improvements in channel capacity and energy efficiency will enhance the potential of multicast in V2X scenarios, where vehicles can receive multicast information from other vehicles, the internet, and roadside infrastructure [213]. As mentioned in [50], selecting a small number of vehicles as mobile network gateways allows them to obtain video content from the network via V2I communication and distribute the content among other peer vehicles through V2V communication. From various sources, it is evident that scalable video has the potential for multicast applications, and this holds true for vehicular networks as well.…”