Locally Adaptive Power Control for Optimizing Age of Information in Wireless Networks

Meiyan Song, Howard H. Yang, Hangguan Shan, Jemin Lee, Huaming Lin, Tony Q.S. Quek

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The boom in Internet of Things (IoT) has spawned many real-time applications, which have stringent requirements for the timeliness of information delivery. As a result, age of information (AoI) has emerged as a metric to evaluate information freshness at the destination node and aroused widespread attention from both academia and industry. In this paper, we develop a locally adaptive power control policy for wireless ad hoc networks, which adjusts each node's transmit power according to its local observation so as to optimize the sum of average AoI of all destination nodes. The proposed scheme has a low implementation complexity. Numerical results show that the proposed scheme is well adapted to variants of network environment and can significantly improve information freshness.

Original languageEnglish
Title of host publication2022 IEEE Wireless Communications and Networking Conference, WCNC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1599-1604
Number of pages6
ISBN (Electronic)9781665442664
DOIs
Publication statusPublished - 2022
Event2022 IEEE Wireless Communications and Networking Conference, WCNC 2022 - Austin, United States
Duration: 2022 Apr 102022 Apr 13

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
Volume2022-April
ISSN (Print)1525-3511

Conference

Conference2022 IEEE Wireless Communications and Networking Conference, WCNC 2022
Country/TerritoryUnited States
CityAustin
Period22-04-1022-04-13

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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