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Transferring wireless high update rate supermedia streams over IoT

Authors
Kokkonis, GeorgePsannis, Kostas E.Roumeliotis, ManosIshibashi, YutakaKim, Byung-GyuConstantinides, Anthony G.
Issue Date
Jun-2018
Publisher
Springer Verlag
Keywords
Congestion control; Flow control; Haptics; IoT; Real-time protocols; Supermedia; Transport protocols; Wireless communications
Citation
Studies in Computational Intelligence, v.715, pp 93 - 103
Pages
11
Journal Title
Studies in Computational Intelligence
Volume
715
Start Page
93
End Page
103
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/4775
DOI
10.1007/978-3-319-58190-3_6
ISSN
1860-949X
1860-9503
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 sensory 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. © 2018, Springer International Publishing AG.
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