Policy control framework-based algorithm for uncertain QoS harmonization in IP-based live video surveillance communications

Abstract

There are around 15 million surveillance camera installed in US and about 10 % of it is IP based. This number of IP-based surveillance is constantly growing as it gives an opportunity for smart real time surveillance. When the number of camera increases, it create a challenge to smart surveillance both in terms of cost and efficiency. Cost—as to monitor so many views, there is a need to have enough people. Efficiency—due to overload of monitoring, there are chances that important tracking is missed. Intelligent surveillance helps in avoiding many such issues, however, there is a constant threat that due to lack of appropriate policy control framework, tracking may be affected due to inherent network issues or human glitches. The paper presents a novel way, where a policy control framework is deployed for IP-based surveillance which will help in efficient monitoring. The paper studies the QoS pattern where such a system is deployed and shows that the utility function used for such tracking follows a linear uncertainty distribution pattern. The paper also concentrates on illustrating the algorithm for finding the cameras where the QoS needs to be harmonized. It shows how to make the algorithm opportunistic, so that the number of messages in the network can be reduced while tweaking the QoS.