Abstract
This letter explores the Age of Information (AoI) in IoT networks, aiming to minimize the average AoI for real-time applications. We employ a spatiotemporal model with a heterogeneous Poisson field (HPF) of interferers and an absorbing Markov chain (AMC) to quantify AoI dynamics. This model specifically examines the effects of packet segmentation (i.e., rate adaptation) to maintain a stable rate in the presence of IoT interference. Unlike previous works focused on preemptive and non-preemptive schemes, we propose a novel hybrid k-preemptive transmission scheme. This scheme dynamically decides whether to continue or preempt transmission based on the number of delivered segments, addressing interference issues. Simulation results demonstrate the superiority of the proposed scheme over conventional schemes, consistently minimizing the average AoI.
Original language | English |
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Pages (from-to) | 2342-2346 |
Number of pages | 5 |
Journal | IEEE Wireless Communications Letters |
Volume | 13 |
Issue number | 9 |
DOIs | |
State | Published - 2024 |
Bibliographical note
Publisher Copyright:© 2012 IEEE.
Keywords
- Age of Information (AoI)
- preemptive and non-preemptive queue
- stochastic geometry
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering