SenSys 2026
We are excited to announce the International Conference on Embedded Artificial Intelligence and Sensing Systems (SenSys 2026), co-located with the CPS-IoT Week.
SenSys 2026 merges SenSys, IPSN, and IoTDI into a single, top-ranked, flagship event. The original three conferences have driven innovation across multiple disciplines, including sensor networks, embedded systems, mobile computing, machine learning, wireless communications, signal processing, embedded AI, cyber-physical systems, and AI-driven applications. SenSys 2026 unites these communities to foster a high-impact forum that advances research at the intersection of sensing systems and embedded artificial intelligence.
重要信息
CCF推荐：B（计算机网络）
录用率：19.1%（45/235，2025）
时间地点：2026年5月11日-圣马洛·法国
截止时间：2025年11月6日
Call for Papers
SenSys 2026 welcomes groundbreaking research in areas traditionally covered by SenSys, IPSN, and IoTDI, as well as other emerging fields. Topics include, but are not limited to:
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Sensors and Networked Sensing Systems
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Platforms, Networking, and Communication Protocols
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Embedded AI, Information Processing, and Machine Learning
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Algorithms, Data, and Theory
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Applications and Real-world Deployments
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Security and Privacy in Embedded Sensing Systems
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Novel Paradigms and Architectures for Embedded Sensing Systems
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Visions, Experiences, Tools, Datasets, and Benchmarks (optional short paper format)
Submission Guidelines
Submitted papers must be original, unpublished work, and must not be under review for any other publication at the time of submission. Submissions must be at most 12 pages (full papers) or 6 pages (short papers), and must include all figures and tables within the page limits. References may use as many pages as needed. Both formats should be prepared on single-spaced 8.5" x 11" pages, using a 9-point font size in a two-column layout. Submissions must follow either the LaTeX template (preferred) or Word style files provided here. LaTeX submissions should specifically use the acmart.cls template with the sigconf option.
Authors are expected to make a good-faith effort to anonymize their manuscripts. The presence of non-anonymous preprints (such as those on arXiv or similar repositories) will not result in rejection. Reviewers will be instructed not to actively look for such preprints, but incidentally discovering such materials will not violate the double-blind policy. Submissions that do not comply with the specified size, formatting, or anonymization guidelines will not be reviewed. All papers must be submitted in Adobe Portable Document Format (PDF) through the designated conference submission system.
For submissions that involve research with human participants, including those using anonymized data, authors must include a brief description of how ethical considerations were addressed and whether the work received approval from an ethics review board (e.g., IRB). All authors are expected to comply with the policies of their institutions regarding data collection and research involving human subjects.