Age of Information Analysis for Queueing Systems With Proactive Obsolete Packet Management: Multi-Hop, Multi-Source, and Priority Mechanisms

This paper investigates the Age of Information (AoI) in single-hop First-Come-First-Serve (FCFS) queueing systems, multi-hop Last-Come-First-Serve (LCFS) systems, and single-hop, multi-source priority-based LCFS systems, all featuring parallel servers at each node pair. AoI analysis in such systems remains largely unexplored, and our goal is to evaluate AoI performance under these models. A key challenge in parallel server systems is out-of-order packet reception. To address this, we utilize the Proactive Obsolete Packet Management (POPMAN) strategy, which proactively identifies and discards outdated packets. The single-hop FCFS system is a benchmark for comparing more efficient queueing disciplines such as LCFS. We use the stochastic hybrid systems (SHS) framework for the AoI analysis. We analyze single-hop FCFS systems using work-conservative and probabilistic routing policies. Our results show that at high arrival rates, the average AoI in a two-server system reduces by 37.5% with the conventional approach and 43.75% with POPMAN, compared to a single-server FCFS system. For multi-hop LCFS networks, a node's packet departure rate is inversely proportional to its average AoI, given by <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\lambda \approx c*\frac{1}{AoI}$</tex-math></inline-formula>, where c ranges from 1 to 1.05.

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Publication Details

Journal
IEEE Transactions on Network Science and Engineering
Published
2025-05-19
DOI
https://doi.org/10.1109/tnse.2025.3571447
Citations
5
Primary Topic
Age of Information Optimization
Type
article
Field-Weighted Citation Impact
7.44
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article

Age of Information Analysis for Queueing Systems With Proactive Obsolete Packet Management: Multi-Hop, Multi-Source, and Priority Mechanisms

T. G. Venkatesh, Y. Arun Kumar Reddy
5 citations
IEEE Transactions on Network Science and Engineering
Age of Information Optimization
7.44
article

Age of Information Analysis for Queueing Systems With Proactive Obsolete Packet Management: Multi-Hop, Multi-Source, and Priority Mechanisms

T. G. Venkatesh, Y. Arun Kumar Reddy
article en
5 citations

Abstract

This paper investigates the Age of Information (AoI) in single-hop First-Come-First-Serve (FCFS) queueing systems, multi-hop Last-Come-First-Serve (LCFS) systems, and single-hop, multi-source priority-based LCFS systems, all featuring parallel servers at each node pair. AoI analysis in such systems remains largely unexplored, and our goal is to evaluate AoI performance under these models. A key challenge in parallel server systems is out-of-order packet reception. To address this, we utilize the Proactive Obsolete Packet Management (POPMAN) strategy, which proactively identifies and discards outdated packets. The single-hop FCFS system is a benchmark for comparing more efficient queueing disciplines such as LCFS. We use the stochastic hybrid systems (SHS) framework for the AoI analysis. We analyze single-hop FCFS systems using work-conservative and probabilistic routing policies. Our results show that at high arrival rates, the average AoI in a two-server system reduces by 37.5% with the conventional approach and 43.75% with POPMAN, compared to a single-server FCFS system. For multi-hop LCFS networks, a node's packet departure rate is inversely proportional to its average AoI, given by <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\lambda \approx c*\frac{1}{AoI}$</tex-math></inline-formula>, where c ranges from 1 to 1.05.

IEEE Transactions on Network Science and EngineeringVol. 12(5)
Indian Institute of Technology Madras (IN)
Openalex Percentile: Top 3%
Age of Information Optimization
7.44
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Age of Information Analysis for Queueing Systems With Proactive Obsolete Packet Management: Multi-Hop, Multi-Source, and Priority Mechanisms — T. G. Venkatesh, Y. Arun Kumar Reddy · IEEE Transactions on Network Science and Engineering (2025) | TGRS Research Map | TGRS