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

Authors: Zheng Xu

Addresses: Huawei Company, Beijing, China

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.

Keywords: big data; wireless surveillance networks; data sensing.

DOI: 10.1504/IJSHC.2017.084732

International Journal of Social and Humanistic Computing, 2017 Vol.2 No.3/4, pp.141 - 149

Received: 16 Nov 2015
Accepted: 21 Apr 2016
Published online: 25 Jun 2017 *

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