A Selective Downlink Scheduling Algorithm to Enhance Quality of VOD Services for WAVE Networks

Article (PDF Available)inEURASIP Journal on Wireless Communications and Networking 2009(1) · January 2009with14 Reads
DOI: 10.1155/2009/478157 · Source: DOAJ
Providing quality-of-service- (QoS-) guaranteed video on demand (VOD) services over wireless access in vehicular environments (WAVEs) is a challenge as WAVE adopts enhanced distributive channel access (EDCA), a contention-based channel access mechanism, for air interface access control. This paper proposes a selective downlink scheduling (SDS) algorithm to enhance the quality of VOD for WAVE networks. According to the importance of video decoding, video packets are categorized into high and low priorities. The categorized packets are put into different queues in roadside units (RSUs) to contend for transmission opportunities. Aiming to improve video playback quality and reduce video playback delay, the proposed SDS algorithm schedules video packets based on their importance, playback deadline, and their real-time parameters of receiving onboard units (OBUs), such as velocity and remaining dwelling time. The effectiveness of SDS algorithm is verified by simulations.

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    • " Several studies devise the QoS mechanisms [6] to provide guaranteed service to on-board passengers. [5] proposes a downlink scheduler to deliver high-quality video on demand services over V2I networks. The proposed scheduler is deployed at the RSU to coordinate the transmission of packets according to their importance to the video quality, playback deadline and the real-time information of vehicles such as the velocity, link quality and s"
    [Show abstract] [Hide abstract] ABSTRACT: The emerging IEEE 802.11p standard adopts the enhanced distributed channel access (EDCA) mechanism as its Media Access Control (MAC) scheme to support quality-of-service (QoS) in the rapidly changing vehicular environment. While the IEEE 802.11 protocol family represents the dominant solutions for wireless local area networks, its QoS performance in terms of throughput and delay, in the highly mobile vehicular networks, is still unclear. To explore an in-depth understanding on this issue, in this paper, we develop a comprehensive analytical model that takes into account both the QoS features of EDCA and the vehicle mobility (velocity and moving directions). Based on the model, we analyze the throughput performance and mean transmission delay of differentiated service traffic, and seek solutions to optimally adjust the parameters of EDCA towards the controllable QoS provision to vehicles. Analytical and simulation results are given to demonstrate the accuracy of the proposed model for varying EDCA parameters and vehicle velocity and density.
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    • "Analysis in[4]and[5]presents performance results for heartbeat broadcasts which relate node populations and probability of frame collisions when ackowledgements are not present. Recent works have also analyzed features and requirements of in-vehicle comfort and infotainment applications[6],[7]. In this work we combine M/G/1 queuing analysis and Markov chain analysis partly used in our previous work on non-saturation analysis[9]In this work we consider the neighborhood of single Roadside Unit RSU operating in non-saturation regime. "
    Full-text · Conference Paper · Jan 2011 · Ad Hoc Networks
  • [Show abstract] [Hide abstract] ABSTRACT: With increasing popularity of inter-vehicular communication, the need to provide emergency and infotainment services to vehicles in a fair and efficient manner is top priority. These data items can be downloaded or uploaded from a Hotspot which is Roadside Unit. The only difference between a hotspot and a roadside unit is hotspots are kept far apart as compared to roadside units. When many vehicles try to access a hotspot for some services then fair data scheduling is required. In this paper we propose a priority based NDS scheduling algorithm using broadcast transmissions is proposed along with the comparison study with existing algorithms. Simulation results show that the proposed algorithm performs better than other the existing service scheduling algorithms.
    Conference Paper · Dec 2009 · Ad Hoc Networks
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