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.
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Kokkonis, G., Psannis, K.E., Roumeliotis, M., Ishibashi, Y., Kim, BG., Constantinides, A.G. (2018). Transferring Wireless High Update Rate Supermedia Streams Over IoT. In: Yager, R., Pascual Espada, J. (eds) New Advances in the Internet of Things. Studies in Computational Intelligence, vol 715. Springer, Cham. https://doi.org/10.1007/978-3-319-58190-3_6
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DOI: https://doi.org/10.1007/978-3-319-58190-3_6
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