Age of Information in Multiple Sensing

Javani, Alireza; Zorgui, Marwen; Wang, Zhiying

doi:10.1109/ita50056.2020.9244999

Cited by 21 publications

(12 citation statements)

References 31 publications

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“…Additionally, Javani et al have analyzed an LCFS queueing system with multiple sources and servers, where preemption in service is allowed [15] . In studies [14] and [15] , centralized queues have been considered, allowing for communication between queues. Bhati et al have analyzed average AoI in a queueing system with two parallel M/M/1 Queues [16].…”

Section: A Related Workmentioning

confidence: 99%

Age of Information of an FCFS Queueing System in Heterogeneous Servers with Proactive Obsolete Packet Management

Reddy,

Venkatesh

2024

Preprint

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Section: A Related Workmentioning

confidence: 99%

Age of Information of an FCFS Queueing System in Heterogeneous Servers with Proactive Obsolete Packet Management

Reddy,

Venkatesh

2024

Preprint

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“…[20] proposes a new simple method for computing AoI based on SHS. By applying SHS, [21] first studied systems with one source and n servers and then extended the results to systems with m sources and n servers. In [37], the M/M/c* preemptive parallel server system was analyzed using SHS.…”

Section: B Related Workmentioning

confidence: 99%

“…2) Single Source and Multiple Servers In [21],The average age of information at the monitor for single-source n-server network where each server has a LCFS queue is:…”

Section: Change Of Age With Server Utilizationmentioning

confidence: 99%

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Age of information: in Systems with Multi-source, Limited Buffers, and LCFS-S

Li¹,

Xiang²,

Huang³

et al. 2023

J-NaNA

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In recent years, an increasing number of real-time applications have become more sensitive to the freshness of information, which requires that packets reach the receiver as promptly as possible. As a measure of information freshness, it is of great interest to measure the age of information (AoI) on multi-source networks. In this paper, we propose a new queueing system: the systems with N sources, Single buffer, Non-source-aware, and LCFS-S (NSLS-Q system). To simplify the study, we first studied the queueing system for Two sources, Single buffer, Non-source-aware, and LCFS-S (TSLS-Q system). We then generalize the conclusions to the NSLS-Q system. We model the queueing system using a stochastic hybrid system (SHS) to solve for the age of information in the queueing system. In this, Markov chains are used to represent the state transitions. We then compared the system with other queueing systems through numerical results. The results show that the queue model performs better in terms of AoI compared to the traditional queue model.

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“…So, a trust-aware mechanism needs to be taken in all decisions and interactions such as routing [7], service deployment [6], and computing. Moreover, given the logically centralized and physically distributed nature of the control plane it is important to ensure that the freshness of received network data is maximized [5] at the SDN controllers to guarantee a valid global view of the network.…”

Section: Introductionmentioning

confidence: 99%

Joint Satellite Gateway Deployment & Controller Placement in Software-Defined 5G-Satellite Integrated Networks

Torkzaban,

Baras

2021

Preprint

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Several challenging optimization problems arise while considering the deployment of the space-air-ground integrated networks (SAGINs), among which the optimal satellite gateway deployment problem is of significant importance. Moreover, with the increasing interest in the software-defined integration of 5G networks and satellites, the existence of an effective scheme for optimal placement of SDN controllers, is essential. In this paper, we discuss the interrelation between the two problems above and propose suitable methods to solve them under various network design criteria. We first provide a MILP model for solving the joint problem, and then motivate the decomposition of the model into two disjoint MILPs. We then show that the resulting problems can be modeled as the optimization of submodular set functions and can be solved efficiently with provable optimality gaps.

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Age of Information in Multiple Sensing

Abstract: I dedicate this thesis to my lovely father whom I didn't see for a long time. Undeniably, I would not be the place that I am now if it was not because of your sincere support. I will miss you forever.

Cited by 21 publications

References 31 publications

Age of Information of an FCFS Queueing System in Heterogeneous Servers with Proactive Obsolete Packet Management

Age of Information of an FCFS Queueing System in Heterogeneous Servers with Proactive Obsolete Packet Management

Age of information: in Systems with Multi-source, Limited Buffers, and LCFS-S

Joint Satellite Gateway Deployment & Controller Placement in Software-Defined 5G-Satellite Integrated Networks

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