The analytics and applications on supporting big data framework in wireless surveillance networks

Abstract

Nowadays, wireless sensor networks (WSNs) are based on techniques more and more oriented towards image, video and sound processing, hence the recent need of wireless multimedia sensor networks (WMSNs). One of the important challenges for real-time surveillance system is end-to end delay QoS for packet deliveries. Providing end-to-end QoS is difficult due to two reasons. As wireless sensor nodes may require multichip transmissions to reach the sink and some of the wireless transmissions may be not successful. Multimedia data are characterised by their large volume, and have strict requirements in terms of quality of service (QoS) such as bandwidth, delay, packet loss, delay jitter, etc. In this paper, we are interested in routing protocols based on clusters that aim to reduce congestion in order to have reliable data transmission and a reduced loss rate. This is achieved by balancing the traffic load, which results into a balanced energy consumption within the network.