Novel Deep Packet Compression For Industrial Internet of Things
Mingkai Chen, Hang Lu, Xinmian Xu, Xiaowei Tang, Qiang Fan, Chong Lou · 2022 IEEE Globecom Workshops (GC Wkshps) · 2022
Nowadays, Industrial Internet of Things (IIoT) has been considered as a promising technology to provide data acquisition for Industry 4.0. However, packet compression in IIoT still exists multi-protocol heterogeneity, lack of robustness, compression ratio to be improved and some other issues. Inspired by the above reasons, in this paper we investigate a novel deep packet compression for IIoT in order to reduce redundant data while maintaining high robustness. For one thing, facing to protocol heterogeneity, we propose Universal Dynamic Ethernet Header Compression (UDEHC) to embrace five major protocols. For another, we provide Generalized Deduplication using Static Dictionary (GDSD) scheme to obtain 16-20% compression improvement and high reliability. Extensive simulation results are provided to validate the theoretical analysis and demonstrate the effectiveness in wireless circumstance.