Minimizing AoI under Covertness Constraints in Internet of Things Networks

Danyang Wang*, Huimin Qin, Zan Li, Peihan Qi, Ning Zhang, Xianfu Chen, Keping Yu

*この研究の対応する著者

研究成果: Conference contribution

抄録

Covertly collecting the latest status information is great crucial for the controller to make decision in Internet of Things (IoT) networks. In this paper, age of information (AoI) is leveraged to evaluate the information freshness. To improve the information freshness, packet re-transmission is exploited at the transmitter, while the re-transmission increases the probability that the transmission behavior is being detected by the adversaries. Hence, we propose a time constrained re-transmission strategy to make a trade-off between the AoI and transmission covertness. Specifically, the maximum allowable re-transmission times have different effects on the AoI and transmission covertness. We formulate an optimization problem to minimize AoI under the constraint of system covertness. The closed-form expression of the average AoI and the expected probability of error detection are derived. Then, the number of maximum re-transmission time slots is optimized to minimize the average AoI. Finally, numerical results demonstrate that the optimal choice of the re-transmission times is the upper bound value of the consecutive transmission time slots that satisfies the covertness constraint. Proposed retransmission strategy can guarantee the information freshness under a given covertness constraint.

本文言語English
ホスト出版物のタイトル2021 IEEE 3rd International Conference on Frontiers Technology of Information and Computer, ICFTIC 2021
出版社Institute of Electrical and Electronics Engineers Inc.
ページ694-700
ページ数7
ISBN(電子版)9781665406055
DOI
出版ステータスPublished - 2021
イベント3rd IEEE International Conference on Frontiers Technology of Information and Computer, ICFTIC 2021 - Virtual, Online, United States
継続期間: 2021 11月 122021 11月 14

出版物シリーズ

名前2021 IEEE 3rd International Conference on Frontiers Technology of Information and Computer, ICFTIC 2021

Conference

Conference3rd IEEE International Conference on Frontiers Technology of Information and Computer, ICFTIC 2021
国/地域United States
CityVirtual, Online
Period21/11/1221/11/14

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識
  • 情報システム
  • 情報システムおよび情報管理
  • モデリングとシミュレーション

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