Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications

Gündüz, Deniz; Qin, Zhijin; Aguerri, Iñaki Estella; Dhillon, Harpreet S.; Yang, Zhaohui; Yener, Aylin; Wong, Kai‐Kit; Chae, Chan-Byoung

doi:10.1109/jsac.2022.3223408

Cited by 254 publications

(95 citation statements)

References 235 publications

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“…On the one hand, it can extract task-relevant information and then improve communication efficiency. On the other hand, semantic information irrelevant to the transmission task can be filtered out and compressed, thereby reducing the consumption of communication bandwidth [35]. To resist the effects of noise, fading, and interference in the wireless channel, the encoded semantic signal is then passed through a channel encoder to improve the robustness of the system.…”

Section: Key Characteristics Of Internet Of Digital Twinsmentioning

confidence: 99%

A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects

Wang

Zhou

Guo

et al. 2023

IEEE Internet Things J.

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By interacting, synchronizing, and cooperating with its physical counterpart in real time, digital twin is promised to promote an intelligent, predictive, and optimized modern city. Via interconnecting massive physical entities and their virtual twins with inter-twin and intra-twin communications, the Internet of digital twins (IoDT) enables free data exchange, dynamic mission cooperation, and efficient information aggregation for composite insights across vast physical/virtual entities. However, as IoDT incorporates various cutting-edge technologies to spawn the new ecology, severe known/unknown security flaws and privacy invasions of IoDT hinders its wide deployment. Besides, the intrinsic characteristics of IoDT such as decentralized structure, information-centric routing and semantic communications entail critical challenges for security service provisioning in IoDT. To this end, this paper presents an in-depth review of the IoDT with respect to system architecture, enabling technologies, and security/privacy issues. Specifically, we first explore a novel distributed IoDT architecture with cyber-physical interactions and discuss its key characteristics and communication modes. Afterward, we investigate the taxonomy of security and privacy threats in IoDT, discuss the key research challenges, and review the state-of-the-art defense approaches. Finally, we point out the new trends and open research directions related to IoDT.

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Section: Key Characteristics Of Internet Of Digital Twinsmentioning

confidence: 99%

A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects

Wang

Zhou

Guo

et al. 2023

IEEE Internet Things J.

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“…In conclusion, by using the framework of semantic communication [5][6][7][8][9] for the exchanged data among the agents, we avoid classical error-free digital transmission of data but open up the possibility for a swarm to "learn" a semantic understanding of the communicated messages with respect to the overall exploration objective. By integrating the physical layer directly into the exploration task and thus possibly excluding higher communication protocol layers, we may also improve communication efficiency in terms of latency, data rate, energy, and complexity compared to semantics-agnostic state-of-theart protocols.…”

Section: 𝑢(𝜹 𝑡)mentioning

confidence: 99%

“…Note that it applies in particular to the example of this article: integration of semantic context, here exploration, into communication system design. The idea of semantic communication emerged in the early 1950s [46][47][48] but has seen a lot of research interest only recently with the rise of ML application to the physical layer [5][6][7][8][9].…”

Section: Semantic Communicationmentioning

confidence: 99%

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Swarm Exploration and Communications: A First Step towards Mutually-Aware Integration by Probabilistic Learning

et al. 2023

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Swarm exploration by multi-agent systems relies on stable inter-agent communication. However, so far both exploration and communication have been mainly considered separately despite their strong inter-dependency in such systems. In this paper, we present the first steps towards a framework that unifies both of these realms by a “tight” integration. We propose to make exploration “communication-aware” and communication “exploration-aware” by using tools of probabilistic learning and semantic communication, thus enabling the coordination of knowledge and action in multi-agent systems. We anticipate that by a “tight” integration of the communication chain, the exploration strategy will balance the inference objective of the swarm with exploration-tailored, i.e., semantic, inter-agent communication. Thus, by such a semantic communication design, communication efficiency in terms of latency, required data rate, energy, and complexity may be improved. With this in mind, the research proposed in this work addresses challenges in the development of future distributed sensing and data processing platforms—sensor networks or mobile robotic swarms consisting of multiple agents—that can collect, communicate, and process spatially distributed sensor data.

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“…With the objective of extracting insights from the transmitted information through the matched knowledge base, we need to design effective methods to improve semantic communication in the IoT scenario [204,205]. For the next-generation communication among IoT devices and the infrastructure, an adaptive and intelligent communication system is about to move forward.…”

Section: B Semantic Communicationmentioning

confidence: 99%

Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions

Jagatheesaperumal,

Pham,

Ruby

et al. 2022

Preprint

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Explainable Artificial Intelligence (XAI) is transforming the field of Artificial Intelligence (AI) by enhancing the trust of end-users in machines. As the number of connected devices keeps on growing, the Internet of Things (IoT) market needs to be trustworthy for the end-users. However, existing literature still lacks a systematic and comprehensive survey work on the use of XAI for IoT. To bridge this lacking, in this paper, we address the XAI frameworks with a focus on their characteristics and support for IoT. We illustrate the widely-used XAI services for IoT applications, such as security enhancement, Internet of Medical Things (IoMT), Industrial IoT (IIoT), and Internet of City Things (IoCT). We also suggest the implementation choice of XAI models over IoT systems in these applications with appropriate examples and summarize the key inferences for future works. Moreover, we present the cutting-edge development in edge XAI structures and the support of sixth-generation (6G) communication services for IoT applications, along with key inferences. In a nutshell, this paper constitutes the first holistic compilation on the development of XAI-based frameworks tailored for the demands of future IoT use cases.

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Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications

Cited by 254 publications

References 235 publications

A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects

A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects

Swarm Exploration and Communications: A First Step towards Mutually-Aware Integration by Probabilistic Learning

Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions

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