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Proceedings Paper

Optimal video sensing strategy and performance optimization for mobile wireless video sensors
Author(s): Zhihai He; Milind Desphande; Dapeng Wu
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Paper Abstract

Wireless video sensor networks have been envisioned for a wide variety of important applications. In this work, we investigate the following research problem: given a mobile video sensor with an initial resource configuration, what is the maximum video quality it can provide, and what is the best video encoding and streaming strategy to achieve this performance? To address this problem, we study the energy consumption of each sensor node in video compression and wireless data transmission. We statistically model the node mobility and study its impact on wireless video transmission. We develop a task-oriented performance metric to measure the video sensing performance of the sensor node. We develop an optimal resource allocation and scheduling scheme for the video sensor to maximize the performance metric. The results provide an important step stone for our future performance study of wireless video sensor networks.

Paper Details

Date Published: 19 January 2006
PDF: 9 pages
Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60771M (19 January 2006); doi: 10.1117/12.641855
Show Author Affiliations
Zhihai He, Univ. of Missouri, Columbia (United States)
Milind Desphande, Univ. of Missouri, Columbia (United States)
Dapeng Wu, Univ. of Florida (United States)


Published in SPIE Proceedings Vol. 6077:
Visual Communications and Image Processing 2006
John G. Apostolopoulos; Amir Said, Editor(s)

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