A Congestion Control Framework for Handling Video Surveillance Traffics on WSN

This paper focuses on congestion control but while previous works considered scalar sensor nodes which only report events in the size of a few bytes, we are addressing congestion control for information-intensive flows such as video flows for surveillance applications in pervasive wireless multimedia sensor networks. The proposed framework that we describe in this paper tries to put several mechanisms together in order to efficiently handle information-intensive flows in a WSN. This work addresses congestion control with a multi-path routing facility. Next, an efficient congestion detection is proposed as the radio medium is most likely to introduce packet losses due to contention on the radio channel, and not only because of buffer overflow. Then a light-weight load repartition mechanism sits on top in order to take advantages to the path diversity, keeping as long as possible the sending rate constant thus keeping the video quality as high as possible. Simulations are performed in order to get insights into the performances of our proposals.