2014 IEEE International Symposium on Information Theory 2014
DOI: 10.1109/isit.2014.6875100
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Age of information with packet management

Abstract: We consider a system in which random status updates arrive at a source node, and should be transmitted through a wireless network to the intended destination node. The status updates are samples of a random process, transmitted as packets, containing the time stamp to identify the moment the sample was generated. The time it takes to successfully transmit a packet to the destination is modeled as an exponentially distributed service time. The status update age at the receiver is the time elapsed since the last… Show more

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Cited by 338 publications
(258 citation statements)
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“…We are interested in two particular performance metrics: i) the probability of the AoI hitting a predetermined upperbound, denoted by A max , and ii) the average AoI. Influenced by the term peak-age violation probability introduced in [21], the first performance metric is referred to as the peak-age hitting probability and is used to model the case where the information becomes useless (or less relevant to the system) after its age reaches A max . This is in fact the case in several possible application areas of AoI; for instance, proximity sensors, or time-correlated data used for online learning with small time-windows.…”
Section: Performance Metrics For the Aoi Systemmentioning
confidence: 99%
“…We are interested in two particular performance metrics: i) the probability of the AoI hitting a predetermined upperbound, denoted by A max , and ii) the average AoI. Influenced by the term peak-age violation probability introduced in [21], the first performance metric is referred to as the peak-age hitting probability and is used to model the case where the information becomes useless (or less relevant to the system) after its age reaches A max . This is in fact the case in several possible application areas of AoI; for instance, proximity sensors, or time-correlated data used for online learning with small time-windows.…”
Section: Performance Metrics For the Aoi Systemmentioning
confidence: 99%
“…The average AoI for an M/M/1 last-come first-served (LCFS) queueing model with preemption was analyzed in [8]. In [11], the authors proposed peak AoI as an alternative metric to evaluate the information freshness. The average AoI and average peak AoI for different packet management policies in an M/M/1 queueing model were derived in [12].…”
Section: A Related Workmentioning
confidence: 99%
“…The two most commonly used metrics for evaluating the AoI of a source at the destination are the average AoI and average peak AoI [5], [10], [11]. Next, we introduce these two metrics for the considered system model.…”
Section: System Model and Definitionsmentioning
confidence: 99%
“…In [2], [9], [11]- [13] the authors study the AoI in different simple queuing systems with multiple classes of service, modeling the channel as a single server. For example, in [2] the authors derive a lower bound for the AoI given any service distribution in a simple queuing system with only one server.…”
Section: Related Workmentioning
confidence: 99%
“…The AoI will continue to have this characteristic sawtooth behaviour, and it is possible to reconstruct its curve by interpolating between the various samples when packets are received. Then it is possible to reconstruct various metrics; for example, it is possible to reconstruct the average AoI by calculating the integral over time of the curve as a sum of trapezoids and dividing over the elapsed time [11].…”
Section: Age Of Informationmentioning
confidence: 99%