English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Timely message delivery is a key enabler for Internet of Things (IoT) andcyber-physical systems to support wide range of context-dependent applications.Conventional time-related metrics (e.g. delay and jitter) fails to characterizethe timeliness of the system update. Age of information (AoI) is atime-evolving metric that accounts for the packet inter-arrival and waitingtimes to assess the freshness of information. In the foreseen large-scale IoTnetworks, mutual interference imposes a delicate relation between trafficgeneration patterns and transmission delays. To this end, we provide aspatiotemporal framework that captures the peak AoI (PAoI) for large scale IoTuplink network under time-triggered (TT) and event triggered (ET) traffic.Tools from stochastic geometry and queueing theory are utilized to account forthe macroscopic and microscopic network scales. Simulations are conducted tovalidate the proposed mathematical framework and assess the effect of trafficload on PAoI. The results unveil a counter-intuitive superiority of the ETtraffic over the TT in terms of PAoI, which is due to the involved temporalinterference correlations. Insights regarding the network stability frontiersand the location-dependent performance are presented. Key designrecommendations regarding the traffic load and decoding thresholds arehighlighted.

A Spatiotemporal Model for Peak AoI in Uplink IoT Networks: Time Vs Event-triggered Traffic