Internet of Things: An Overview
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Abstract (arXiv)
As technology proceeds and the number of smart devices continues to grow substantially, need for ubiquitous context-aware platforms that support interconnected, heterogeneous, and distributed network of devices has given rise to what is referred today as Internet-of-Things. However, paving the path for achieving aforementioned objectives and making the IoT paradigm more tangible requires integration and convergence of different knowledge and research domains, covering aspects from identification and communication to resource discovery and service integration. Through this chapter, we aim to highlight researches in topics including proposed architectures, security and privacy, network communication means and protocols, and eventually conclude by providing future directions and open challenges facing the IoT development.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Mar 2017.
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Citing papers per year: 2023: 4; 2024: 7; 2025: 2; 2026: 1.
14 papers.
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- 2024Two Types of AI Existential Risk: Decisive and Accumulativecited by 21
- 2024IoT-LM: Large Multisensory Language Models for the Internet of Thingscited by 14
- 2023Unsupervised Deep Learning for IoT Time Seriescited by 11
- 2024Training Stiff Neural Ordinary Differential Equations with Implicit Single-Step Methodscited by 11
- 2023Bayesian polynomial neural networks and polynomial neural ordinary differential equationscited by 6
- 2024Training Stiff Neural Ordinary Differential Equations with Explicit Exponential Integration Methodscited by 5
- 2023CorrFL: Correlation-Based Neural Network Architecture for Unavailability Concerns in a Heterogeneous IoT Environmentcited by 3
- 2023MultiIoT: Benchmarking Machine Learning for the Internet of Thingscited by 1
- 2024Evasive Active Hypothesis Testing with Deep Neuroevolution: The Single- and Multi-Agent Casescited by 1
- 2024Cyber Physical Gamescited by 1
- 2024Group & Reweight: A Novel Cost-Sensitive Approach to Mitigating Class Imbalance in Network Traffic Classificationcited by 0
- 2025Leveraging Real-Time Data Analysis and Multiple Kernel Learning for Manufacturing of Innovative Steelscited by 0
- 2026A Vision for Multisensory Intelligence: Sensing, Science, and Synergy8 Jan 2026
- 2025HECATE: An ECS-based Framework for Teaching and Developing Multi-Agent Systems8 Sep 2025
- 2025Leveraging Real-Time Data Analysis and Multiple Kernel Learning for Manufacturing of Innovative Steels16 May 2025
- 2024Training Stiff Neural Ordinary Differential Equations with Explicit Exponential Integration Methods2 Dec 2024
- 2024Training Stiff Neural Ordinary Differential Equations with Implicit Single-Step Methods8 Oct 2024
- 2024Group & Reweight: A Novel Cost-Sensitive Approach to Mitigating Class Imbalance in Network Traffic Classification28 Sep 2024
- 2024IoT-LM: Large Multisensory Language Models for the Internet of Things13 Jul 2024
- 2024Cyber Physical Games8 Jul 2024
- 2024Evasive Active Hypothesis Testing with Deep Neuroevolution: The Single- and Multi-Agent Cases15 Mar 2024
- 2024Two Types of AI Existential Risk: Decisive and Accumulative15 Jan 2024
- 2023MultiIoT: Benchmarking Machine Learning for the Internet of Things10 Nov 2023
- 2023Bayesian polynomial neural networks and polynomial neural ordinary differential equations17 Aug 2023
- 2024Two Types of AI Existential Risk: Decisive and Accumulativecited by 21
- 2024IoT-LM: Large Multisensory Language Models for the Internet of Thingscited by 14
- 2023Unsupervised Deep Learning for IoT Time Seriescited by 11
- 2024Training Stiff Neural Ordinary Differential Equations with Implicit Single-Step Methodscited by 11
- 2023Bayesian polynomial neural networks and polynomial neural ordinary differential equationscited by 6
- 2024Training Stiff Neural Ordinary Differential Equations with Explicit Exponential Integration Methodscited by 5
- 2023CorrFL: Correlation-Based Neural Network Architecture for Unavailability Concerns in a Heterogeneous IoT Environmentcited by 3
- 2023MultiIoT: Benchmarking Machine Learning for the Internet of Thingscited by 1
- 2024Evasive Active Hypothesis Testing with Deep Neuroevolution: The Single- and Multi-Agent Casescited by 1
- 2024Cyber Physical Gamescited by 1
- 2024Group & Reweight: A Novel Cost-Sensitive Approach to Mitigating Class Imbalance in Network Traffic Classificationcited by 0
- 2025Leveraging Real-Time Data Analysis and Multiple Kernel Learning for Manufacturing of Innovative Steelscited by 0
12 most cited of 14 All 14 (JSON)
- 2026A Vision for Multisensory Intelligence: Sensing, Science, and Synergy8 Jan 2026
- 2025HECATE: An ECS-based Framework for Teaching and Developing Multi-Agent Systems8 Sep 2025
- 2025Leveraging Real-Time Data Analysis and Multiple Kernel Learning for Manufacturing of Innovative Steels16 May 2025
- 2024Training Stiff Neural Ordinary Differential Equations with Explicit Exponential Integration Methods2 Dec 2024
- 2024Training Stiff Neural Ordinary Differential Equations with Implicit Single-Step Methods8 Oct 2024
- 2024Group & Reweight: A Novel Cost-Sensitive Approach to Mitigating Class Imbalance in Network Traffic Classification28 Sep 2024
- 2024IoT-LM: Large Multisensory Language Models for the Internet of Things13 Jul 2024
- 2024Cyber Physical Games8 Jul 2024
- 2024Evasive Active Hypothesis Testing with Deep Neuroevolution: The Single- and Multi-Agent Cases15 Mar 2024
- 2024Two Types of AI Existential Risk: Decisive and Accumulative15 Jan 2024
- 2023MultiIoT: Benchmarking Machine Learning for the Internet of Things10 Nov 2023
- 2023Bayesian polynomial neural networks and polynomial neural ordinary differential equations17 Aug 2023
12 newest of 14 All 14 (JSON)