Goal-Oriented Integration of Sensing, Communication, Computing, and Control for Mission-Critical Internet-of-Things

被引:0
|
作者
Cao, Jie [1 ]
Kurniawan, Ernest [2 ]
Boonkajay, Amnart [2 ]
Sun, Sumei [2 ]
Popovski, Petar [3 ]
Zhu, Xu [1 ]
机构
[1] Harbin Inst Technol HIT, Sch Elect & Informat Engn, Guangdong Prov Key Lab Aerosp Commun & Networking, Shenzhen 518055, Guangdong, Peoples R China
[2] Agcy Sci Technol & Res, Inst Infocomm Res, Singapore 138632, Singapore
[3] Aalborg Univ, Dept Elect Syst, DK-9220 Aalborg, Denmark
来源
IEEE NETWORK | 2024年 / 38卷 / 06期
基金
新加坡国家研究基金会; 中国国家自然科学基金;
关键词
Task analysis; 6G mobile communication; Sensors; Measurement; Semantics; Reliability; Monitoring; Goal-oriented communication; integration; mission-critical Internet-of-Things; CONTROL-SYSTEMS; CONTEXT;
D O I
10.1109/MNET.2024.3414396
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Driven by the development goal of network paradigm and demand for various functions in the sixth-generation (6G) mission-critical Internet-of-Things (MC-IoT), we foresee a goal-oriented integration of sensing, communication, computing, and control (GIS3C) in this paper. We first provide an overview of the tasks, requirements, and challenges of MC-IoT. Then we introduce an end-to-end GIS3C architecture, in which goal-oriented communication is leveraged to bridge and empower sensing, communication, control, and computing functionalities. By revealing the interplay among multiple subsystems in terms of key performance indicators and parameters, this paper introduces unified metrics, i.e., task completion effectiveness and cost, to facilitate S3C co-design in MC-IoT. The preliminary results demonstrate the benefits of GIS3C in improving task completion effectiveness while reducing costs. We also identify and highlight the gaps and challenges in applying GIS3C in the future 6G networks.
引用
收藏
页码:13 / 20
页数:8
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