Joint Effect of Multiple Correlated Cameras in Wireless Multimedia Sensor Networks

Abstract

Abstract-Wireless multimedia sensor networks (WMSNs) are interconnected devices that allow retrieving video and audio streams, still images, and scalar data from the environment. In a densely deployed WMSN, there exists correlation among the visual information observed by cameras with overlapped field of views. In this paper, the correlation characteristics of visual information are used to address two issues: 1) how to measure the amount of visual information provided by multiple cameras in the network, and 2) how to select a group of cameras to report their information to the sink under distortion constraints. An entropy-based analytical framework is developed to measure the amount of visual information provided by multiple correlated cameras first. Based on this framework, a correlation-based camera selection scheme is introduced. Simulation results show that, given a distortion bound at the sink, the correlation-based selection scheme requires fewer cameras to report to the sink than the random selection scheme.

BorderSense: Border patrol through advanced wireless sensor networks

“…There may also exist cooperations between imaging sensors to detect intrusions collaboratively. In this case, correlation-based camera selection schemes [9,10] and data compression frameworks [39] are required to reduce the redundancy among correlated cameras. In addition to the stationary components, unmanned aerial vehicles (UAVs) and robots provide additional capabilities at the third layer.…”

Priority-Based node selection and scheduling for wireless multimedia sensor networks

“…The joint effect of multiple correlated cameras in WMSNs is studied in [9]. The authors propose an entropy-based analytical framework to measure the amount of information provided by multiple cameras in WMSNs.…”