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ACM Transactions on Internet of Things is a peer-reviewed journal published by ACM, covering IoT and Edge/Fog Computing, Context-Aware Activity Recognition Systems, Indoor and Outdoor Localization Technologies. Over its lifetime it has published 213 papers, which have received 2,551 citations.
| Publisher | ACM |
|---|---|
| Reference style | Numbered (ACM) Numbered — [1], [2] in the text [1] Ada Smith, Ben Jones, and Cara Lee. 2023. A representative article title. ACM Transactions on Internet of Things 12, 3, Article 45 (2023).
Formats any DOI in ACM Transactions on Internet of Things style. No sign-up. |
| Publishes research in | IoT and Edge/Fog Computing Context-Aware Activity Recognition Systems Indoor and Outdoor Localization Technologies Energy Efficient Wireless Sensor Networks Mobile Crowdsensing and Crowdsourcing |
| ISSN | 2577-6207 |
| Citation impact (2-yr) | 3.09 |
| h-index | 25 |
| i10-index | 82 |
| Top institutions publishing here | KU Leuven |
| Journal website | dl.acm.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
The Industrial Internet-of-Things (IIoT) promises significant improvements for the manufacturing industry by facilitating the integration of manufacturing systems by Digital Twins. However, ecological and economic demands also require a cross-domain linkage of multiple scientific perspectives from material sciences, engineering, operations, business, and ergonomics, as optimization opportunities can be derived from any of these perspectives. To…
The predominant paradigm for using machine learning models on a device is to train a model in the cloud and perform inference using the trained model on the device. However, with increasing numbers of smart devices and improved hardware, there is interest in performing model training on the device. Given this surge in interest, a…
The proliferation of heterogeneous Internet of things (IoT) devices connected to the Internet produces several operational and security challenges, such as monitoring, detecting, and recognizing millions of interconnected IoT devices. Network and system administrators must correctly identify which devices are functional, need security updates, or are vulnerable to specific attacks. IoT profiling is an emerging…
The design and development process for internet of things (IoT) applications is more complicated than that for desktop, mobile, or web applications. First, IoT applications require both software and hardware to work together across many different types of nodes with different capabilities under different conditions. Second, IoT application development involves different types of software engineers…
IoT systems based on Digital Twins (DTs) — virtual copies of physical objects and systems — can be very effective to enable data-driven services and promote better control and decisions, in particular by exploiting distributed approaches where cloud and edge computing cooperate effectively. In this context, digital twins deployed on the edge represents a new…
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