Home // EMERGING 2020, The Twelfth International Conference on Emerging Networks and Systems Intelligence // View article

Dynamic Content Adaptation for Timely Delivery of Critical Data under Network Congestion

Authors:
Jia Lei Du
Stefan Linecker
Rodrigo Pommot
Reinhard Mayr

Keywords: Dynamic Content Adaptation; Adaptive Streaming; Congestion Control; Real-time Communication; Cyber-physical Systems

Abstract:
The ever increasing efficiency in sensor-actuator electronics and data transmission technologies is enabling another phase in the digital transformation in the form of billions of connected cyber-physical systems (CPS). As CPS are grounded in the real-world, (near) real-time communication will be essential for many use cases. And this communication will take place over networks that will typically not be under full control of the CPS. For this reason, a solution for robust and interoperable communication of critical data between CPS in a global network is essential. In this paper a general framework for dynamic and interoperable content adaptation based on underlying network conditions is presented. First validation results show that the framework can be used to dynamically scale the quality and amount of transmitted data and thus maintain timely delivery of critical data.

Pages: 1 to 6

Copyright: Copyright (c) IARIA, 2020

Publication date: October 25, 2020

Published in: conference

ISSN: 2326-9383

ISBN: 978-1-61208-815-0

Location: Nice, France

Dates: from October 25, 2020 to October 29, 2020