Priority Aggregation Network With Integrated Computation and Sensation for Ultra Dense Artificial Intelligence of Things

被引：1
|
作者：
Ren, Chao [1 ]
He, Zongrui [1 ]
Li, Yingqi [1 ]
Cao, Difei [1 ]
Zhang, Haijun [1 ]
Nallanathan, Arumugam [1 ]
机构：
[1] Univ Sci & Technol Beijing, Beijing Engn & Technol Res Ctr, Convergence Networks & Ubiquitous Serv, Beijing 100083, Peoples R China
来源：
IEEE WIRELESS COMMUNICATIONS LETTERS | 2024年 / 13卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Task analysis; Sensors; Internet of Things; Delays; Artificial intelligence; Resource management; Wireless communication; Resources leasing; joint computation and sensation; resource management;
D O I：
10.1109/LWC.2023.3323421
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the realm of ultra dense Intelligence of Things, efficient utilization of computation and sensation (CAS) resources remains a challenge due to their uneven temporal and spatial distribution. Priority Aggregation Network (PAN) is introduced to employ priority as an intermediary to restore, combine, and exchange idle CAS resources' permissions for cross-temporal and cross-modal resource leasing. PAN awards priority to devices that lease their sensing and computing resources to others, facilitating efficient resource allocation. Numerical results indicate PAN maintains high cross-temporal task completion rates while conserving equipment resources, with increased willingness to pay for resources.
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页码：270 / 273
页数：4
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