On Peak Age of Information in Data Preprocessing enabled IoT Networks
Chao Xu, Howard Hua Yang, Xijun Wang, Tony Q. S. Quek · 2019
Internet of Things (IoT) has been emerging as one of the use cases permeating our daily lives in 5th Generation wireless networks, where status update packages are usually required to be timely delivered for many IoT based intelligent applications. Enabling the collected raw data to be preprocessed before transmitted to the destination can provide users with better context-aware services and lighten the transmission burden. However, the effect from data preprocessing on the overall information freshness is an essential yet unrevealed issue. In this work we study the joint effect of data preprocessing and transmission procedures on information freshness measured by peak age of information (PAoI). Particularity, we formulate the considered multi-source preprocessing and transmission enabled IoT system as a tandem queue where a priority M/G/1 queue is followed by a G/G/1 queue. Then, we respectively derive the closed-form and an information theoretic approximation of the expectations of waiting time for the formulated processing queue and transmission queue, and further get the analytical expression of the average PAoI for packages from different sources. Finally, the accuracy of our analysis is verified with simulation results.