Transferring Wireless High Update Rate
Supermedia Streams Over IoT
George Kokkonis, Kostas E. Psannis, Manos Roumeliotis,
Yutaka Ishibashi, Byung-Gyu Kim and Anthony G. Constantinides
Abstract This paper deals with the wireless transfer of real-time high update rate
supermedia data over the Internet of Things. It presents the related work on
supermedia data transferring and QoE requirements. It proposes a high-level
architectural design for the transport of wireless multiple supermedia streams over
IoT. The most known compression techniques and flow controls for wireless sen-
sory data transferring are analyzed. Based on these compression techniques, a new
network adaptive flow control algorithm is proposed. Measurements for multihop
wireless transferring of high update rate supermedia packets over IoT are presented.
Keywords IoT
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Wireless communications
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Supermedia
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Haptics
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Transport protocols
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Real-time protocols
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Flow control
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Congestion control
G. Kokkonis (
✉
) ⋅ K.E. Psannis ⋅ M. Roumeliotis
Department of Applied Informatics, University of Macedonia, 156 Egnatia Street,
54006 Thessaloniki, Greece
e-mail: gkokkonis@uom.gr
K.E. Psannis
e-mail: kpsannis@uom.gr
M. Roumeliotis
e-mail: manos@uom.gr
Y. Ishibashi
Department of Computer Science, Graduate School of Engineering,
Nagoya Institute of Technology, Nagoya 466-8555, Japan
e-mail: ishibasi@nitech.ac.jp
B.-G. Kim
Department of IT Engineering, Sookmyung Women’s University Seoul Republic
of Korea, 100 Kalsan-ri Tangjeong-myeon, A-san City, Chungnam 305-350, Korea
e-mail: bg.kim@sm.ac.kr
A.G. Constantinides
Department of Electrical and Electronic Engineering, Imperial College London,
London SW7 2AZ, UK
e-mail: a.constantinides@imperial.ac.uk
© Springer International Publishing AG 2018
R.R. Yager and J. Pascual Espada (eds.), New Advances in the Internet of Things,
Studies in Computational Intelligence 715, DOI 10.1007/978-3-319-58190-3_6
93