ACM SenSys 2025 will mark the inaugural combined event, merging SenSys, IPSN, and IoTDI, forming the single premier conference in the area of Embedded Artificial Intelligence and Sensing Systems. Due to time required for institutional approvals, this year’s SenSys will retain the current name (Conference on Embedded Networked Sensor Systems) and will be collocated with CPS-IoT Week 2025. All accepted papers this year will be published in the ACM SenSys proceedings.

SenSys 2025 invites groundbreaking research contributions on networked sensor systems, embedded systems, mobile computing, the Internet of Things (IoT), wireless communications, signal processing, machine learning, cyber-physical systems, and AI-driven applications. This newly merged premier conference unifies the strengths of SenSys, IoTDI, and IPSN, bringing together researchers and practitioners from academia, industry, and government to discuss innovative advances in sensing, artificial intelligence, and systems that enable future embedded computing environments.

We invite submissions on a broad range of topics that have been covered by SenSys, IPSN, and IoTDI, and new emerging topics of interest. The topics of interest include, but are not limited to:

1. Sensors and Networked Sensing Systems

• Novel sensor technologies and deployments
• Heterogeneous sensor networks and data fusion
• Edge computing, fog computing, and real-time IoT/CPS systems
• Localization, synchronization, RFID, and RF sensing
• VLC and visible light-based sensing
• Digital twins for real-world systems and applications

2. Platforms, Networking, and Communication Protocols

• New communication paradigms for ubiquitous connectivity
• Systems for extreme environments (e.g., underwater, aerial, space)
• Low-power wireless protocols
• Novel IoT protocols and network abstractions, including for 5G/6G and other architectures
• Satellite systems and applications, including CubeSats

3. Embedded AI, Information Processing, and Machine Learning

• Resource-efficient machine learning for embedded and mobile platforms
• Information processing in sensor networks and embedded systems
• Large foundational models and their distillation to edge platforms
• Large language models and multi-modal large models for embedded systems
• Federated learning, neural architecture search for edge devices
• Collaborative sensing with AI-driven inference models

4. Algorithms, Data, and Theory

• Analytic foundations for embedded sensing systems
• Data related issues, such as methods, tools, and analysis
• Coding, compression, and information theory
• Theoretical foundations and fundamental bounds

5. Applications and Real-world Deployments

• Smart cities, smart buildings, and industrial IoT (IIoT)
• AR/VR and metaverse-inspired challenges
• Autonomous vehicles, unmanned aerial vehicles (UAVs), and drones
• Applications in healthcare, fitness, and wellness
• Personal, wearable, and other human-centric embedded systems
• Experiences from real-world deployments and lessons learned

6. Security, and Privacy in Embedded Sensing Systems

• Secure and privacy-sensitive sensing systems
• IoT data marketplaces, compression, and semantic summarization
• Decentralization and blockchain for embedded sensing systems
• Secure communications for the IoT
• Fault-tolerance, dependability, and robustness in embedded platforms and applications
• Fairness, equity, and transparency issues in IoT and CPS

7. Novel Paradigms and Architectures for Embedded Sensing Systems

• Energy-efficient, sustainable system designs
• Edge AI and its implications for system latency, power, and complexity
• Human-machine interaction, including gesture recognition and voice-based systems
• IoT and CPS for sustainability, such as smart grids and energy management

Submitted papers must be unpublished and must not be currently under review for any other publication. Submissions must be full papers, at most 12 single-spaced 8.5” x 11” pages with 10-pt font size in two-column format, including figures and tables. As for references, submissions may include as many pages as needed. All submissions must use the LaTeX (preferred) or Word styles found here. LaTeX submissions should use the acmart.cls template (sigconf option), with the 10-pt font. Authors must make a good faith effort to anonymize their submissions. Although submission is double-blind, existence or availability of non-anonymous preprints (on arXiv or other preprint servers) will not lead to your paper being rejected. Reviewers will be instructed not to actively look for such preprints, but encountering them will not constitute a conflict of interest. Papers that do not meet the size, formatting, and anonymization requirements will not be reviewed. We require each paper to be in Adobe Portable Document Format (PDF) and submitted through the conference submission system.

Papers that describe experiments on human subjects, or that analyze nonpublic data derived from human subjects (even anonymized data), should briefly describe how the research protocol addresses ethical considerations and whether their work was vetted by an ethics review (e.g., IRB approval). We expect authors to follow the rules of their host institutions around data collection and experiments with human subjects. Accepted submissions will be available on the ACM digital library and presented in person at the conference.

Abstract Registration: November 7, 2024 23:59 AoE

Paper Submission Deadline: November 14, 2024 23:59 AoE

Acceptance Notification: January 21, 2025