The Age of Incorrect Information: A New Performance Metric for Status Updates

Maatouk, Ali; Kriouile, Saad; Assaad, Mohamad; Ephremides, Anthony

doi:10.1109/tnet.2020.3005549

Cited by 186 publications

(130 citation statements)

References 25 publications

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“…In addition to the introduction of age as a concept, AoI can be modeled and used as a performance metric together with various relevant metrics derived in relation to it, such as the peak age of information (PAoI) [27], the cost of update delay (CoUD) [28,29], also referred to as non-linear age penalty function [30], the value of information of update (VoIU) [28,29,31], the age of synchronization (AoS) [32], and the age of incorrect information (AoII) [33], to name a few. Towards this direction, general methods for calculating the AoI of a system as well as deriving upper and lower bounds, have been addressed in the literature.…”

Section: Motivationmentioning

confidence: 99%

“…In fact, we will see that PAoI is not merely an alternative performance I Introduction and Overview metric of the AoI but also an important part of unraveling AoI. In [33] the authors use AoII to extend the notion of fresh updates to that of fresh informative updates, that correspond to updates that bring new and correct information to the monitor side. The term effective age of information (EAoI) is used to represent the age of the information that is associated with decision-making [47].…”

Section: Relevant Metricsmentioning

confidence: 99%

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Age of Information Aware Communication Systems : Modeling and Performance Analysis

Kosta

2020

Linköping Studies in Science and Technology. Dissertations

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Section: Motivationmentioning

confidence: 99%

Section: Relevant Metricsmentioning

confidence: 99%

Age of Information Aware Communication Systems : Modeling and Performance Analysis

Kosta

2020

Linköping Studies in Science and Technology. Dissertations

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“…Therefore, in a system that run on renewal energy, it might happen the generation of energy when it is not required or the lack of energy when the system needs to work. A solution to this problem that has been presented in the last years function (Kosta et al, 2017b(Kosta et al, , 2020 and the age of incorrect information (Maatouk et al, 2020). Recently, the authors in Yates & Kaul (2019) present the Stochastic Hybrid System (SHS) method as a technique to compute the average Age of Information without requiring the computation of the aforementioned difficult expression.…”

Section: Introduction Motivationmentioning

confidence: 99%

Age of information of a server with energy requirements

Doncel¹

2021

PeerJ Computer Science

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We investigate a system with Poisson arrivals to two queues. One queue stores the status updates of the process of interest (or data packets) and the other handles the energy that is required to deliver the updates to the monitor. We consider that the energy is represented by packets of discrete unit. When an update ends service, it is sent to the energy queue and, if the energy queue has one packet, the update is delivered successfully and the energy packet disappears; however, in case the energy queue is empty, the update is lost. Both queues can handle, at most, one packet and the service time of updates is exponentially distributed. Using the Stochastic Hybrid System method, we characterize the average Age of Information of this system. Due to the difficulty of the derived expression, we also explore approximations of the average Age of Information of this system.

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“…The term of timeliness as indicated by age can be investigated in various systems in the form of either a concept, a performance metric, or a tool. AoI can be modelled and used as a performance metric together with numerous relevant metrics derived in relation to it, for instance the peak age of information (PAoI) [22,23], the cost of update delay (CoUD) [24,25], also called as non-linear age penalty function [27], the value of information of update (VoIU) [24,25,28], the age of synchronization (AoS) [29], and the age of incorrect information (AoI) [30]. In older works on AoI, the investigation and definition of age has been possible by means of a queueing theoretic perspective [31,32].…”

Section: Introductionmentioning

confidence: 99%

Age of Information Minimization of Multichannel Allocation Mechanism for Hybrid Cognitive Radio Networks with Energy Harvesting under Collusion Constraint

Karaca

2021

Preprint

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Cognitive radio networks (CRNs) with energy harvesting has been a promising solution for wireless industrial networks and seems a promising solution for the spectrum scarcity problem. However, it is critical the wireless spectrum should carefully be managed in order to fullfill the tight requirements on the trustworthy and minimum delayed delivery of information. Motivated by this, in order to represent the freshness of the information, this paper takes into account the metric of age of information (AoI) and multi-channel allocation problem in hybrid cognitive radio networks where secondary transmitters (STs) are able to harvest energy is investigated to maximize allocation performance while minimizing average AOI values. A novel mechanism has been proposed to restrict average AoI values while distributing channels to STs by handling both collusion and energy constraints. STs are prioritized based on a proposed metric and they are able to obtain channels only if the resulting AoI value satisfy proposed conditions. AoI values are computed based on co-channel interference between STs and minimized by decreasing interference levels. For comparison, two algorithms were considered: a greedy mechanism for m-channel allocation of hybrid CRNs with harvesting, but without AOI control and the proposed m-channel allocation schemes based on sorting STs according to the proposed metric and controlling AOI levels based on co-channel interference. The simulations depict that performance of the proposed m-channel allocation method outweighs the greedy algorithm in terms of both AoI minimization and maximization of channel allocation performance, proving the superiority of the proposed algorithm.

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The Age of Incorrect Information: A New Performance Metric for Status Updates

Cited by 186 publications

References 25 publications

Age of Information Aware Communication Systems : Modeling and Performance Analysis

Age of Information Aware Communication Systems : Modeling and Performance Analysis

Age of information of a server with energy requirements

Age of Information Minimization of Multichannel Allocation Mechanism for Hybrid Cognitive Radio Networks with Energy Harvesting under Collusion Constraint

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