The Community for Technology Leaders
Green Image
Issue No. 04 - April (2018 vol. 17)
ISSN: 1536-1233
pp: 746-759
Muhammad Usman , Global Big Data Technologies Center (GBDTC), School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia
Ning Yang , College of Automation, Northwestern Polytechnical University, Xi'an Shi, China
Mian Ahmad Jan , Department of Computer Science, Abdul Wali Khan University, Mardan, Pakistan
Xiangjian He , Global Big Data Technologies Center (GBDTC), School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia
Min Xu , Global Big Data Technologies Center (GBDTC), School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia
Kin-Man Lam , Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong
ABSTRACT
With the emergence of Wireless Multimedia Sensor Networks (WMSNs), the distribution of multimedia contents have now become a reality. Without proper management, the transmission of multimedia data over WMSNs affects the performance of networks due to excessive packet-drop. The existing studies on Quality of Service (QoS) mostly deal with simple Wireless Sensor Networks (WSNs) and as such do not account for an increasing number of sensor nodes and an increasing volume of data. In this paper, we propose a novel framework to support QoS in WMSNs along with a light-weight Error Concealment (EC) scheme. The EC schemes play a vital role to enhance Quality of Experience (QoE) by maintaining an acceptable quality at the receiving ends. The main objectives of the proposed framework are to maximize the network throughput and to cover-up the effects produced by dropped video packets. To control the data-rate, Scalable High efficiency Video Coding (SHVC) is applied at multimedia sensor nodes with variable Quantization Parameters (QPs). Multi-path routing is exploited to support real-time video transmission. Experimental results show that the proposed framework can efficiently adjust large volumes of video data under certain network distortions and can effectively conceal lost video frames by producing better objective measurements.
INDEX TERMS
Streaming media, Multimedia communication, Quality of service, Wireless sensor networks, Bandwidth, Routing
CITATION

M. Usman, N. Yang, M. A. Jan, X. He, M. Xu and K. Lam, "A Joint Framework for QoS and QoE for Video Transmission over Wireless Multimedia Sensor Networks," in IEEE Transactions on Mobile Computing, vol. 17, no. 4, pp. 746-759, 2018.
doi:10.1109/TMC.2017.2739744
100 ms
(Ver 3.3 (11022016))