Transferring wireless high update rate supermedia streams over IoT
- Authors
- Kokkonis, George; Psannis, Kostas E.; Roumeliotis, Manos; Ishibashi, Yutaka; Kim, Byung-Gyu; Constantinides, 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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