Upgrade Industrial Communication Network to Assimilate Augmented Reality for Smart Factory Using H265 – Based Edge Computing

Abstract

Augmented reality (AR) application has the potential to be regarded as one of the newest smart factory applications within the context of industry 4.0. This application is classified as the heavier application in industry 4 from bandwidth consuming points of view. Hence, the excessively high-resolution video streams that are produced by augmented reality causes resources congestion in terms of system capacity. As a consequence, the communication network will suffer extremely to meet the requirements of such applications.  This work suggests the H265/HEVC compression technique based on edge computing to assimilation the required data rate. This method contributes in reducing the load on the available bandwidth and decrease the latency. Moreover, this work offers multi scenarios using OMNeT++ regarding AR application with multi compression ratio based on H265 technique. In addition, H265 compression technique has been tested practically on AR data using suitable edge server. Hence, the results demonstrated that the received data reliability improves from 10% in basic scenario to 99% (enhanced network using edge computing) at a compression rate of 10:1 in the proposed scenario with maintaining the AR quality at 42 dB which is considered as a good quality according to the mean opinion score (MOS) criteria. On the other hand, the end-to-end delay for AR application drops from 900 ms in basic scenario to just 8.7 ms at a compression ratio of 10:1 in the proposed scenario.