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Throughput Estimation for Singleton Video Streaming Application over Wireless Sensor Network

By S. Guo and T. D. C. Little

Abstract

Recent advances in wireless communications technology and low-power, low-cost CMOS imaging sensors enable a new sensing modality employing ubiquitous distributed video sensing. In many video sensing applications multimedia streams are often required by the base station to provide detailed information of the target spot in the sensor field. Such applications demand a strict throughput requirement for each data stream and expect the underline routing scheme to yield throughput-aware data paths for video data delivery. As a result, data path throughput estimation becomes increasingly important for successful video delivery algorithm designs. In this paper, we propose a data path throughput estimation model for singleton streaming applications, where only one data path is instantiated between source and destination. Coupled with distributed TDMA packet scheduling scheme, this path throughput estimation model can be employed by path formation algorithms to construct data paths from source to destination to yield throughput-aware video delivery. We prove that the throughput of such data path is independent of the path length. OPNET simulation results indicate that our model is accurate and our proposed TDMA packet scheduling scheme is favorable for video streaming applications

Topics: Wireless Video Sensor Network (WVSN, Throughput Estimation, Video Streaming
Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.180.9302
Provided by: CiteSeerX
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