Paper Info
Title
Optimal Status Update in IoT Systems: An Age of Information Violation Probability Perspective
Abstract
Internet of Things (IoT) has emerged as one of the key features of the next-generation wireless networks, where timely delivery of status update packets is essential for many real-time IoT applications. Age of Information (AoI) is a new metric to measure the freshness of update. Reduction of the violation probability that AoI of status updates exceeds a given age constraint is of great significance for guaranteeing the data freshness in IoT systems. This work focuses on characterizing the violation probability of AoI in IoT systems where a sensor delivers updates to a monitor under M/M/1 queue with first-come-first-served (FCFS) policy. By exploring the correlation between inter-departure time and system time, the closed-form expression of the violation probability for any AoI constraint is derived. The obtained result induces an accurate characterization of the probability distribution function of AoI. The optimal generation rate of the status update that induces the minimal violation probability is also found. Numerical results show that the optimal update rate can significantly reduce the AoI violation probability for a wide range of AoI constraints.
Year
DOI
Venue
2020
10.1109/VTC2020-Fall49728.2020.9348764
2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall)
Keywords
DocType
ISSN
Internet of Things,Age of Information,M/M/1 queuing systems,violation probability
Conference
1090-3038
ISBN
Citations 
PageRank 
978-1-7281-9485-1
2
0.36
References 
Authors
0
7
Name
Order
Citations
PageRank
Limei Hu181.46
Zhengchuan Chen221.37
Yunquan Dong3173.08
Yunjian Jia46713.92
Min Wang57627.77
Liang Liang6418.91
Chen Chen7367.74