Call for papers
The ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI) is a premier venue on IoT. In 2024, IoTDI will be held for the 9th time, and will be part of CPS-IoT Week 2024, in Hong Kong SAR.
Leveraging the successful focus update in 2023, the conference continues to expand its range of Internet of Things topics that reflect the ground-breaking research advances in many aspects of IoT. While classic IoT topics remain welcome at this venue, we want to shine a spotlight on emphasized topics that reflect recent changes in the IoT space that shape our domain:
IoT AI:
Machine learning, and emergence of edge AI: In the last decade, advances in AI/ML have revolutionized many fields. In IoT, where distributed applications run on limited edge-hardware and interact with physical context, this meant new challenges, such as reducing the resource footprint of AI/ML, model complexity reduction, improved latency/quality trade-offs, novel neural network architectures for the edge, prioritization of machine attention, early exit neural networks, federated learning, data augmentation (for IoT data modalities), embedding multimodal data, (physical world) representation learning, learning in the frequency domain, semantic IoT data compression, edge-cloud load balancing, resilience, privacy, and many more. Those topics are becoming central to the future of smart IoT.
IoT Application Spaces:
The emergence of AR/VR and metaverse-inspired research: Very recently, large corporations, such as Facebook, have invested in a new type of digitally connected world, where people, things, and algorithms seamlessly interact. Their investments redefine what a future Internet of Things might look like. Novel challenges in realizing this futuristic vision include low-power compute platforms for augmented reality, ability to build high-fidelity digital twins, high-fidelity simultaneous localization and mapping (SLAM), platforms for data collection for ML, and low-latency display systems for AR. We call for original contributions that address these challenges.
IoT for connected and autonomous vehicles: IoT systems play vital roles in advanced driver assistance, collision avoidance, and autonomous driving by collecting and processing vast amounts of vehicle data in real time. A great effort in the research community has been made on IoT for connected and autonomous, including robust and low-latency communication, reliable machine learning and AI, as well as computation offloading for autonomous driving, low-cost and reliable sensor technology in a wider range of conditions, secure vehicular data transmission, predictive maintenance, energy efficiency.
IoT systems for human-machine interaction, including generative AIs: IoT systems are essential in enhancing human-machine interaction. We have witnessed the success of IoT systems in providing better human-machine interactions in smart homes, healthcare, industrial IoT, and retail. The emerging trends in this field include but are not limited to, natural language-based generative AI to improve the ability of IoT devices to understand and respond to natural language commands, gesture recognition for IoT devices to interpret user gestures, AI and machine learning to improve the predictive capabilities of IoT devices, allowing them to anticipate user needs better.
IoT systems for sustainability: Sustainability is a key concern in as well as an application domain for developing and deploying IoT systems, with ongoing research focused on energy efficiency, resource management, and the role of IoT in supporting sustainable practices such as smart grids and energy management, waste management, sustainable agriculture, environmental monitoring, and lifecycle assessment of IoT devices.
Satellite systems for IoT: Satellite connectivity can extend and amplify IoT's global footprint, particularly in remote and underserved areas. Some key areas in this field include but are not limited to architectures for integrating satellite systems into IoT networks, how "nanosatellites" or "CubeSats" can be used to support IoT connectivity, how to manage and optimize the Low Earth Orbit (LEO) satellite constellations, how to design energy-efficient communication protocols and algorithms for satellite-based IoT systems, edge computing solutions, data compression techniques, and other methods for managing IoT data in satellite systems, reliable and robust communication in the presence of interference, propagation delay, and other challenges inherent in satellite communication, and legal and regulatory frameworks for the deployment and operation of satellite IoT.
IoT/Physical Integration:
The proliferation of digital twins for networked "things": Popularized by NASA's attempts to improve physical-model simulation, and re-introduced into recent visions of future social connectivity, such as the metaverse, digital twins are envisioned to become commonplace for a growing majority of future network physical things. Challenges in maintaining them include ultra-low-latency interfaces, data synchronization, low-resource operation, edge-cloud coordination, and applications in both industrial and social contexts.
IoT Data:
The exponential growth of machine-generated data: The proliferation of IoT devices and machine-generated data has created a world where data volume grows exponentially (by more than an order of magnitude per decade). What does that imply for the network and back-end architecture of future IoT applications, from industrial to social? What future data services are needed to support IoT systems? What is the impact on storage, access, and other data needs, such as semantic summarization? In short, what back-end challenges are introduced by the IoT data explosion?
IoT data marketplaces: IoT data marketplaces, which involve the buying, selling, and sharing of data generated by IoT devices, are an emerging field with significant ongoing research. Some key areas include but are not limited to how to build effective marketplaces for IoT data, standardization, and translation techniques to ensure data from different sources can be combined and compared, methods for assessing and certifying data quality, how companies can derive value from selling or buying IoT data, and what business models are most effective, how AI and machine learning techniques can be applied to the data available in IoT data markets.
IoT Security and Privacy:
IoT Security: The IoT offers novel security challenges. It is a backdoor for unwanted manipulation of physical things. Its scale has recently enabled massive botnets to fuel many high-profile DDoS attacks. Its protection, nevertheless, is not straightforward due to the significant resource limits of individual devices. In the US (among other nations), the Department of Homeland Security prioritized addressing the challenge of securing the IoT to prevent threats to physical infrastructure and public safety. IoTDI recognizes security as a core research problem in the IoT space.
Decentralization and blockchain for IoT systems: Integrating blockchain technology and IoT is a rapidly growing research area as it offers promising solutions for decentralization, economic incentives, security, privacy, and reliability issues in IoT systems. The ongoing research in this field includes but is not limited to how blockchain can be used to create decentralized IoT networks, how smart contracts can be used to automate IoT interactions and transactions and enable micropayments for IoT data, reducing the need for intermediaries and increasing speed and efficiency, how blockchain can be used to create and manage identities for IoT devices in a decentralized manner, thus enhancing security and privacy, solutions to make blockchain more scalable for large IoT networks, encryption techniques, access control models, secure firmware updates, and anonymization methods for data protection, interoperability of different IoT devices and different blockchains, more energy-efficient consensus mechanisms and practices for energy management in IoT networks.
This conference remains an interdisciplinary forum that brings together researchers and practitioners from academia, industry, and government to discuss challenges, technologies, and emerging directions in IoT system design and implementation. We invite original, previously unpublished work on a diverse array of IoT topics, broadly defined. These topics include but are not limited to:
- IoT for connected and autonomous vehicles
- IoT systems for human-machine interaction, including generative AIs
- Decentralization and blockchain for IoT systems
- IoT systems for Sustainability
- IoT data marketplaces
- Satellite systems for IoT
- Machine learning and edge AI for IoT
- AR/VR and metaverse-inspired challenges
- Digital twins and digital twin networks for IoT systems
- Analytic foundations and theory of IoT
- Secure and privacy-sensitive IoT systems
- Reliability, timeliness, and robustness in IoT systems
- Novel quality requirements and their enforcement mechanisms
- Novel IoT protocols and network abstractions, including for 5G/6G and other architectures
- IoT for extreme environments including underwater, air, and space
- IoT-motivated cyber-physical and Industrial IoT (IIoT) systems
- Low-Power IoT architectures and energy/power management and harvesting for IoT Platforms
- Edge, fog, and cloud computing and resource management for IoT applications
- Personal, wearable, and other embedded networked front-ends
- Applications domains (e.g., smart cities, smart health, smart buildings, smart transportation, supply chain)
- Real-world deployment experiences, case studies, and lessons learned
For papers reporting results based on experiments with human subjects, appropriate ethics approvals should be demonstrated as part of the submission.
Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements.
Accepted papers of particular merit will be invited to submit an extended version to the ACM Transactions on the Internet of Things (TIOT).
IoTDI collaborates closely with the IPSN conference, given the proximity in research themes (both related to IoT) and the co-location in CPS-IoT Week. We provide submission guidelines to aid prospective authors with the conference venue selection.
Important Dates
Abstract submission: October 24, 2023 11:59:59pm AoE
Paper submission: October 31, 2023 11:59:59pm AoE
Notification: January 20, 2024 11:59:59pm AoE
Camera-ready submission: March 8, 2024 11:59:59pm AoE
CPS-IoT Week: May 13-16, 2024, Hong Kong