The International Conference on Information Processing in Sensor Networks (IPSN) is a leading annual forum on research in networked sensing and control, broadly defined. IPSN brings together researchers from academia, industry, and government to present and discuss recent advances in both theoretical and experimental research. Its scope includes signal and image processing, information and coding theory, databases and information management, distributed algorithms, networks and protocols, wireless communications, collaborative objects and the Internet of Things, machine learning, mobile and social sensing, and embedded systems design. Of special interest are contributions at the confluence of multiple of these areas. The program can be found here.
IPSN'21 is part of CPS-IoT Week 2021, co-located with conferences HSCC, ICCPS, IoTDI and RTAS.
Awards
Jingxian Wang, Junbo Zhang (Carnegie Mellon University); Ke Li (Cornell University); Chengfeng Pan, Carmel Majidi, Swarun Kumar (Carnegie Mellon University)
Jingxian Wang, Junbo Zhang (Carnegie Mellon University); Ke Li (Cornell University); Chengfeng Pan, Carmel Majidi, Swarun Kumar (Carnegie Mellon University)
Omid Tavallaie (The University of Sydney, Australia), Javid Taheri (Karlstad University), Albert Zomaya (The University of Sydney, Australia)
Vu Tran (Singapore Management University), Gihan Jayatilaka (University of Peradeniya), Ashwin Ashok (Georgia State University), Archan Misra (Singapore Management University)
Wenjie Luo, Zhenyu Yan (Nanyang Technological University, Singapore); Qun Song (School of Computer Science and Engineering, Nanyang Technological University, Singapore); Rui Tan (Nanyang Technological University, Singapore)