Abstract
We propose autonomous dynamic window shaping and rerouting to improve the throughput of the Internet of Things (IoT) on a service-converged layer-2 network with a time-aware shaper (TAS) accommodating mobile fronthaul (MFH) and IoT backhaul. While low latency for MFH is assured by the TAS technique, the maximum throughput of the IoT traffic is limited because the available bandwidth for the IoT is limited. Our dynamic window shaping and rerouting improves the IoT throughput autonomously by utilizing the burstiness feature of the MFH traffic. Experimental results showed that our techniques increased overall throughput from 3.9 to 7.9 Gbps under certain conditions.
© 2021 Optical Society of America
Full Article | PDF ArticleMore Like This
Md. Nooruzzaman and Xavier Fernando
J. Opt. Commun. Netw. 16(6) 659-669 (2024)
Hiroyuki Uzawa, Kazuaki Honda, Hirotaka Nakamura, Yukio Hirano, Ken-ichi Nakura, Seiji Kozaki, and Jun Terada
J. Opt. Commun. Netw. 12(2) A135-A143 (2020)
Jun Li, Xiaoman Shen, Lei Chen, Jiannan Ou, Lena Wosinska, and Jiajia Chen
J. Opt. Commun. Netw. 11(4) B1-B9 (2019)