Goal-Oriented Communications for the IoT and Application to Data Compression
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Abstract (arXiv)
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.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Nov 2022.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 5; 2025: 2; 2026: 1.
10 papers.
- 2022Less Data, More Knowledge: Building Next Generation Semantic Communication Networkscited by 61
- 2024Joint Source-Channel Coding: Fundamentals and Recent Progress in Practical Designscited by 32
- 2024A Multi-Task Oriented Semantic Communication Framework for Autonomous Vehiclescited by 10
- 2024Attention-aware Semantic Communications for Collaborative Inferencecited by 6
- 2024Vision Transformer-based Semantic Communications With Importance-Aware Quantizationcited by 5
- 2023Task-Oriented Communication Design at Scalecited by 3
- 2025Remote Inference over Dynamic Links via Adaptive Rate Deep Task-Oriented Vector Quantizationcited by 3
- 2024Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless Image Classificationcited by 1
- 2025Highly Efficient Direct Analytics on Semantic-aware Time Series Data Compressioncited by 0
- 2026Token-Oriented Semantic Communication with Pretrained Vision Transformerscited by 0
- 2026Token-Oriented Semantic Communication with Pretrained Vision Transformers26 Aug 2026
- 2025Highly Efficient Direct Analytics on Semantic-aware Time Series Data Compression17 Mar 2025
- 2025Remote Inference over Dynamic Links via Adaptive Rate Deep Task-Oriented Vector Quantization5 Jan 2025
- 2024Vision Transformer-based Semantic Communications With Importance-Aware Quantization8 Dec 2024
- 2024Joint Source-Channel Coding: Fundamentals and Recent Progress in Practical Designs26 Sep 2024
- 2024Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless Image Classification3 Sep 2024
- 2024A Multi-Task Oriented Semantic Communication Framework for Autonomous Vehicles6 Mar 2024
- 2024Attention-aware Semantic Communications for Collaborative Inference23 Feb 2024
- 2023Task-Oriented Communication Design at Scale15 May 2023
- 2022Less Data, More Knowledge: Building Next Generation Semantic Communication Networks25 Nov 2022