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Age of Information Performance of Multiaccess Strategies with Packet Management
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-4416-7702
Univ Maryland, MD 20742 USA.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
2019 (English)In: Journal of Communications and Networks, ISSN 1229-2370, E-ISSN 1976-5541, Vol. 21, no 3, p. 244-255Article in journal (Refereed) Published
Abstract [en]

We consider a system consisting of N source nodes communicating with a common receiver. Each source node has a buffer of infinite capacity to store incoming bursty traffic in the form of status updates transmitted in packets, which should maintain the status information at the receiver fresh. Packets waiting for transmission can be discarded to avoid wasting network resources for the transmission of stale information. We investigate the age of information (AoI) performance of the system under scheduled and random access. Moreover, we present analysis of the AoI with and without packet management at the transmission queue of the source nodes, where as packet management we consider the capability to replace unserved packets at the queue whenever newer ones arrive. Finally, we provide simulation results that illustrate the impact of the network operating parameters on the age performance of the different access protocols.

Place, publisher, year, edition, pages
KOREAN INST COMMUNICATIONS SCIENCES (K I C S) , 2019. Vol. 21, no 3, p. 244-255
Keywords [en]
Age of information; multiple-access channels; packet management; performance analysis; queueing theory; real time systems
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-159594DOI: 10.1109/JCN.2019.000039ISI: 000476787900005OAI: oai:DiVA.org:liu-159594DiVA, id: diva2:1342286
Note

Funding Agencies|European Unions Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant [642743]; ELLIIT; Center for Industrial Information Technology (CENIIT); U.S. Office of Naval Research [ONR 5-280542]; U.S. National Science Foundation [CIF 5-243150, 5-245770, CIF 5-231912]; Swedish Research Council (VR)

Available from: 2019-08-13 Created: 2019-08-13 Last updated: 2019-08-13

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Citation style
  • apa
  • harvard1
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  • de-DE
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  • Other locale
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Output format
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