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  4. A Spatiotemporal Model for Peak AoI in Uplink IoT Networks: Time Versus Event-Triggered Traffic
 
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A Spatiotemporal Model for Peak AoI in Uplink IoT Networks: Time Versus Event-Triggered Traffic

Publikationstyp
Journal Article
Date Issued
2020-08
Sprache
English
Author(s)
Emara, Mustafa  orcid-logo
Elsawy, Hesham  
Bauch, Gerhard  
Institut
Nachrichtentechnik E-8  
TORE-URI
http://hdl.handle.net/11420/7236
Journal
IEEE internet of things journal  
Volume
7
Issue
8
Start Page
6762
End Page
6777
Article Number
9042825
Citation
IEEE Internet of Things Journal 8 (7): 9042825 (2020-08)
Publisher DOI
10.1109/JIOT.2020.2981924
Scopus ID
2-s2.0-85089956623
Timely message delivery is a key enabler for Internet of Things (IoT) and cyber-physical systems to support a wide range of context-dependent applications. Conventional time-related metrics (e.g., delay and jitter) fail to characterize the timeliness of the system update. Age of Information (AoI) is a time-evolving metric that accounts for the packet interarrival and waiting times to assess the freshness of information. In the foreseen large-scale IoT networks, mutual interference imposes a delicate relation between traffic generation patterns and transmission delays. To this end, we provide a spatiotemporal framework that captures the peak AoI (PAoI) for the large-scale IoT uplink network under time-triggered (TT) and event-triggered (ET) traffic. Tools from the stochastic geometry and queueing theory are utilized to account for the macroscopic and microscopic network scales. Simulations are conducted to validate the proposed mathematical framework and assess the effect of traffic load on the PAoI. The results unveil a counter-intuitive superiority of the ET traffic over the TT in terms of PAoI, which is due to the involved temporal interference correlations. Insights regarding the network stability frontiers and the location-dependent performance are presented. Key design recommendations regarding the traffic load and decoding thresholds are highlighted.
Subjects
Age of Information (AoI)
Internet of Things (IoT)
queueing theory
spatiotemporal models
stochastic geometry
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