Experimental Analysis of Bandwidth Allocation in Automated Video Surveillance Systems
Sina G. Davani, Nabil J. Sarhan · 2017
We consider the bandwidth allocation problem in automated video surveillance systems, in which a monitoring station analyzes the video streams captured and delivered wirelessly by multiple cameras. In contrast with prior studies, we provide a detailed experimental analysis of cross-layer optimization by developing a real system and conducting extensive experiments. In addition, we present an enhanced cross-layer optimization solution that allocates bandwidth to different cameras in a manner that optimizes the overall detection accuracy. The solution works with the popular HTTP streaming approach and includes a new online scheme for estimating the effective airtime of the network. The results show that the proposed solution significantly improves the detection accuracy.