A Survey of Traffic Shaping Technology in Internet of Things

Abstract

In the era of the Internet of Everything, the burst of traffic will bring many problems. Traffic shaping, as a common means to limit burst traffic rate, achieves ''peak and valley reduction'' to smooth the output rate, avoid network congestion, guarantee the quality of service (QoS) and improve the overall network transmission efficiency. This paper first explains the basic concept of traffic shaping, the related algorithms in traffic shaping, and compares the differences between traffic shaping and traffic policing. It then describes the research on traffic shaping in software-defined networks and the results from the combination of the two. This is followed by an introduction to relatively new technology for industry, timesensitive networks, and an exploration of the functions of various types of traffic shapers in time-sensitive networks. This is followed by a description of case studies of traffic shaping in IoT scenarios and an overview of these traffic shaping schemes, summarizing the usefulness of the shaping schemes. Finally, the future of traffic shaping is explored.

Mulsemedia communication research challenges for metaverse in 6G wireless systems

“…However, this requires a suf icient buffer size and the application needs to be delay-tolerant. Another possible solution could be using traf ic shaping solutions [73] such as leaky bucket and token bucket algorithms from existing literature. Despite improvements in communication data rates and network latency reduction in previous generations of wireless networks, to the best of ©International Telecommunication Union, 2023…”

Wireless communication research challenges for Extended Reality (XR)

“…Note that if the buffering solution is used then the end-toend latency can be affected which is a strict QoE in mulsemedia communication. A possible solution could be using traffic shaping solutions [69] such as leaky bucket and token bucket algorithms from the past literature. Despite improvements in communication data rates and network latency reduction in previous generations of wireless networks, to the best of our knowledge there is currently no wireless technology capable of delivering data packets with bounded end-to-end latency and synchronized, coordinated data flows.…”