Vehicular Streaming and Seamless Handoff Mechanism Based on the Prediction Buffer Control

碩士 === 國立屏東科技大學 === 資訊管理系所 === 101 === Since vehicles are running in high speed environments, it is difficult to establish the topology of the network. Moreover, data transmission may be interrupted by the handoff of different APs. The purpose of this study establishes the network of Roadside-to-Veh...

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Bibliographic Details
Main Authors: Tai-Yang Wu, 吳岱洋
Other Authors: Hsu-Yang Kung
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/03643692576317759666
Description
Summary:碩士 === 國立屏東科技大學 === 資訊管理系所 === 101 === Since vehicles are running in high speed environments, it is difficult to establish the topology of the network. Moreover, data transmission may be interrupted by the handoff of different APs. The purpose of this study establishes the network of Roadside-to-Vehicle (R2V) environment and use the DSRC (Dedicated Short Range Communication) to achieve seamless handoff control on streaming service. In order to design the prediction dynamic buffer control to achieve seamless handoff, first we use the GPS (Global Positioning System) to collect vehicular information (e.g. speed, direction, and location), then exchanging parameter of vehicular information at both ends of position and speed by DSRC. Thus, it can predict the LET (Link Expiration Time) with two mobile nodes. Furthermore, the study will use two cases of handoff in roadside to analyze vehicle network. One is non-overlapping handoff, and the other is overlapping handoff. But in this study, it only investigates and analyzes the situation of non-overlapping handoff. Finally, the research designs a simple formula to calculate and sum that the time takes to predict a particular vehicle's actual downloads of the total buffer space, and adjust the flow control to receiver. This research will achieve the streaming of seamless handoff control in network of R2V. Finally, we used the wireless device called IWCU (ITRI WAVE/DSRC Communication Unit) to set up the communication for V2R and the streaming service. We also used the traffic simulator called SUMO (Simulation of Urban Mobility) and network simulator called NS2 (Network Simulator 2) to simulate the vehicular motion and network transmission. We proved the accuracy and feasibility to our mechanism via the simulation result. This will promote the smoothness of the media streaming.