Goal-Oriented Communications for the IoT and Application to Data Compression

被引:14
|
作者
Zhang C. [1 ]
Zou H. [2 ]
Lasaulce S. [3 ]
Saad W. [4 ]
Kountouris M. [5 ]
Bennis M. [6 ]
机构
[1] Central South University, China
[2] Technology Innovation Institute, United Arab Emirates
[3] Research Center for Automatic Control (CRAN) of CNRS and the University of Lorraine at Nancy, France
[4] Virginia Tech, United States
[5] EURECOM, France
[6] University of Oulu, Finland
来源
IEEE Internet of Things Magazine | 2022年 / 5卷 / 04期
基金
欧盟地平线“2020”;
关键词
Clustering algorithms - Data compression - Semantics;
D O I
10.1109/IOTM.001.2200177
中图分类号
学科分类号
摘要
Internet of Things (IoT) devices will play an important role in emerging applications, since their sensing, actuation, processing, and wireless communication capabilities stimulate data collection, transmission and decision processes of smart applications. However, new challenges arise from the widespread popularity of IoT devices, including the need for processing more complicated data structures and high dimensional data/signals. The unprecedented volume, heterogeneity, and velocity of IoT data calls for a communication paradigm shift from a search for accuracy or fidelity to semantics extraction and goal accomplishment. In this paper, we provide a partial but insightful overview of recent research efforts in this newly formed area of goal-oriented (GO) and semantic communications, focusing on the problem of GO data compression for IoT applications. © 2018 IEEE.
引用
收藏
页码:58 / 63
页数:5
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