Abstract
Sensor networks have been a very active area of research in recent years. However, most of the sensors used in the development of these networks have been local and nonimaging sensors such as acoustics, seismic, vibration, temperature, humidity. The emerging development of video sensor networks poses its own set of unique challenges, including high-bandwidth and low latency requirements for real-time processing and control. This paper presents a systematic approach by detailing the design, implementation, and evaluation of a large-scale wireless camera network, suitable for a variety of practical real-time applications. We take into consideration issues related to hardware, software, control, architecture, network connectivity, performance evaluation, and data-processing strategies for the network. We also perform multiobjective optimization on settings such as video resolution and compression quality to provide insight into the performance trade-offs when configuring such a network and present lessons learned in the building and daily usage of the network.
Highlights
We describe the design and development of a new laboratory called VideoWeb to facilitate research in processing and understanding video in a wireless environment
While research into large-scale sensor networks has been carried out for various applications, the idea of massive video sensor networks consisting of cameras connected over a wireless network is largely new and relatively unexplored
(3) We describe performance metrics on which to evaluate a video network’s performance and show how multiobjective optimization can be used in order to discover Pareto-efficient settings for configuring the network
Summary
We describe the design and development of a new laboratory called VideoWeb to facilitate research in processing and understanding video in a wireless environment. While research into large-scale sensor networks has been carried out for various applications, the idea of massive video sensor networks consisting of cameras connected over a wireless network is largely new and relatively unexplored. The VideoWeb laboratory entails constructing a robust network architecture for a large number of components, including cameras, wireless routers and bridges, and video-processing servers. Challenges for the design of VideoWeb include creating a wireless network robust enough to simultaneously support dozens of high-bandwidth video cameras at their peak performance, providing power and connectivity to cameras, building a server farm capable of processing all the streaming data in realtime, implementing a low-latency control structure for camera and server control, and designing algorithms capable of realtime processing of video data
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