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CCF B类会议SenSys2024即将截稿(附投稿交流群)

轻松参会  · 公众号  ·  · 2024-04-30 10:25

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会议全称:ACM Conference on Embedded Networked Sensor Systems

录用率:2021年17.99%

CCF分级:计算机网络B

截稿时间:2024/6/24

录用通知时间:2024/9/18

官网链接:

https://sensys.acm.org/2024/

征稿范围:

The 22nd ACM Conference on Embedded Networked Sensor Systems (SenSys 2024) is the premier computer systems conference focused on the architecture,   design, implementation, and performance of networked sensing systems,   sensor-oriented data modeling and intelligence, and sensor-enabled applications.   ACM SenSys brings together academic, industry, and government professionals to a   single-track, highly selective forum that takes a broad view on the areas of   computing relevant to the future of networked embedded sensor systems.   Topics of interests include, but are not limited to, the following:

  • New platforms and hardware designs for networked sensor systems

  • New communication paradigms for ubiquitous connectivity

  • Low-power wireless media access control, network, and transport protocol designs

  • Systems software, including operating systems, network stacks, and programming

  • System services such as time and location estimation

  • Low-power operation, energy harvesting, and energy management

  • Resource-efficient machine learning for embedded and mobile platforms

  • Mobile and pervasive systems with elements of networked sensing

  • Data management and intelligence, including quality, integrity, and trustworthiness

  • Learning algorithms and models for perception, understanding, and adaptation

  • Heterogeneous collaborative sensing, including human-robot sensor systems

  • Security and privacy in networked sensor applications and systems

  • Fault-tolerance, dependability, and verification

  • Applications and deployment experiences

We invite technical papers describing original ideas, groundbreaking   results, and real-world experiences involving innovative networked   embedded sensor systems. Successful submissions will explain why the   topic is relevant to a vision of the future of sensing systems.   Submissions will be judged on originality, significance, clarity,   relevance, and correctness.







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