Study of timeliness and distortion performance for real-time decision making in IoT

被引：0
|
作者：
Wang Y. [1 ]
Wang W. [1 ]
Dong Y. [1 ]
机构：
[1] School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing
来源：
Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) | 2024年 / 58卷 / 04期
关键词：
age upon decisions (AuD); decision scheduling; estimation distortion; internet of things (IoT); update-and-decide system;
D O I：
10.3785/j.issn.1008-973X.2024.04.002
中图分类号：
学科分类号：
摘要：
The sensor's timely and accurately data transmission is a guarantee for the decision-making unit to obtain effective data for decision-making (e.g., estimation, inference, or control) in IoT. To reduce estimation distortion, the decision unit uses multiple packets concurrently for joint estimation by using the best linear unbiased estimator (BLUE). Age upon decisions (AuD) and mean-squared-error (MSE) were introduced as metrics to measure the timeliness and the distortion of the information at the decision moments of the system, respectively. Two decision-making strategies were proposed, and the information timeliness and the distortion performance of the proposed strategies were investigated. In the strategy of using a fixed number of packets for decision making, the monitoring center performed an estimation after per fixed number of packets were received. In the strategy of using fixed time intervals for decision making, the monitoring center made an estimation at fixed intervals. The relationship between the system timeliness and the distortion was balanced by scheduling the decision process of the system to minimize the weighted sum of average AuD and average distortion. Simulation results show that the proposed strategies can improve the system timeliness and reduce the distortion performance by scheduling the decision-making process of the system. © 2024 Zhejiang University. All rights reserved.
引用
收藏
页码：664 / 673and771
相关论文
共 11 条
  • [1] YANG Rongyue, ZHANG Pengzhou, SONG Qing, Research and prospect of intelligent internet of vehicles based on 5G technology [J], Telecommunications Science, 36, 5, pp. 106-114, (2020)
  • [2] JU Z, ZHANG H, LI X, Et al., A survey on attack detection and resilience for connected and automated vehicles: from vehicle dynamics and control perspective [J], IEEE Transactions on Intelligent Vehicles, 7, 4, pp. 815-837, (2022)
  • [3] HE Q, DAN G, FODOR V., Minimizing age of correlated information for wireless camera networks [C], IEEE INFOCOM 2018-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 547-552, (2018)
  • [4] LI B, FEI Z, ZHANG Y., UAV communications for 5G and beyond: recent advances and future trends [J], IEEE Internet of Things Journal, 6, 2, pp. 2241-2263, (2019)
  • [5] BURHANUDDIN L A B, LIU X, DENG Y, Et al., QoE optimization for live video streaming in UAV-to-UAV communications via deep reinforcement learning [J], IEEE Transactions on Vehicular Technology, 71, 5, pp. 5358-5370, (2022)
  • [6] HABIBZADEH H, DINESH K, SHISHVAN O R, Et al., A survey of healthcare internet-of-things (HIoT): a clinical perspective [J], IEEE Internet Things Journal, 7, 1, pp. 53-71, (2020)
  • [7] SONG H, GAO S, LI Y, Et al., Train-centric communication based autonomous train control system [J], IEEE Transactions on Intelligent Vehicles, 8, 1, pp. 721-731, (2023)
  • [8] KAUL S, GRUTESER M, RAI V, Et al., Minimizing age of information in vehicular networks [C], 2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, pp. 350-358, (2011)
  • [9] KAUL S, YATES R, GRUTESER M., Real-time status: how often should one update? [C], 2012 Proceedings IEEE INFOCOM, pp. 2731-2735, (2012)
  • [10] YATES R D, SUN Y, BROWN D R, Et al., Age of information: an introduction and survey [J], IEEE Journal on Selected Areas in Communications, 39, 5, pp. 1183-1210, (2021)
12