Timeliness of Status Update System: The Effect of Parallel Transmission Using Heterogeneous Updating Devices
Zhengchuan Chen, Kang Lang, Nikolaos Pappas, Howard H. Yang, Min Wang,, Zhong Tian, Tony Q. S. Quek

TL;DR
This paper analyzes the Age of Information in multi-queue IoT status update systems with heterogeneous devices, deriving closed-form expressions and demonstrating performance improvements over traditional systems.
Contribution
It introduces a stochastic hybrid systems model for analyzing AoI in parallel updating systems with heterogeneous devices, providing new insights and closed-form solutions.
Findings
Logarithm of average AoI decreases linearly with log of total arrival rate or number of devices.
Proposed systems outperform FCFS M/M/N status update system.
Numerical results confirm the accuracy of the analytical model.
Abstract
Timely status updating is the premise of emerging interaction-based applications in the Internet of Things (IoT). Using redundant devices to update the status of interest is a promising method to improve the timeliness of information. However, parallel status updating leads to out-of-order arrivals at the monitor, significantly challenging timeliness analysis. This work studies the Age of Information (AoI) of a multi-queue status update system where multiple devices monitor the same physical process. Specifically, two systems are considered: the Basic System, which only has type-1 devices that are ad hoc devices located close to the source, and the Hybrid System, which contains additional type-2 devices that are infrastructure-based devices located in fixed points compared to the Basic System. Using the Stochastic Hybrid Systems (SHS) framework, a mathematical model that combines…
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Taxonomy
TopicsData-Driven Disease Surveillance · Personal Information Management and User Behavior · Human Mobility and Location-Based Analysis
