Generated by GPT-5-mini| IEEE IPSN | |
|---|---|
| Name | IEEE IPSN |
| Abbreviation | IPSN |
| Discipline | Sensor networks |
| Publisher | IEEE |
| First | 2002 |
| Frequency | annual |
| Country | International |
IEEE IPSN The IEEE International Conference on Information Processing in Sensor Networks is a leading forum linking Institute of Electrical and Electronics Engineers, ACM, Cornell University, MIT, and Stanford University communities for advances in sensor networks and embedded systems. IPSN attracts researchers from UC Berkeley, Carnegie Mellon University, University of Washington, ETH Zurich, and Imperial College London to present work influencing NATO Science and Technology Organization, DARPA, NSF, European Commission, and Google research agendas. The conference connects practitioners from Intel, Cisco Systems, Qualcomm, Texas Instruments, and ARM Holdings with academic groups such as Harvard University, Princeton University, University of California, Los Angeles, and University of Illinois at Urbana–Champaign.
IPSN focuses on algorithms, systems, and applications for distributed sensing and information processing, drawing attendees from Microsoft Research, IBM Research, Bell Labs, Siemens, and SiRF Technology labs. The program commonly features keynote speakers from Apple Inc., Facebook, Amazon, LinkedIn, and Oracle Corporation as well as panels involving European Space Agency, NASA, NOAA, WHO, and UNICEF partners. Papers often cite foundational work from Debian Project, GNU Project, Apache Software Foundation, and tools developed at Lawrence Berkeley National Laboratory and Los Alamos National Laboratory.
IPSN began in the early 2000s with organizers from University of California, Los Angeles, UT Austin, University of Pennsylvania, and University of California, San Diego responding to interest sparked by deployments at Los Alamos National Laboratory and pilot projects funded by DARPA, NSF, and ONR. Early conferences included participation from projects at Vanderbilt University, University of Cambridge, University of Massachusetts Amherst, Duke University, and Johns Hopkins University. Over time IPSN intersected with events such as ACM SenSys, IEEE INFOCOM, Usenix, and NeurIPS through co-located workshops and joint sessions involving Google DeepMind, OpenAI, Facebook AI Research, and IBM Watson researchers.
IPSN covers sensing modalities and networked processing from prototypes developed at SRI International, Hitachi, NEC Corporation, Panasonic, and Sony Corporation to large-scale studies led by Columbia University, New York University, Yale University, Brown University, and Rutgers University. Topics include localization influenced by work at MIT Lincoln Laboratory and Boeing Research & Technology, signal processing drawing on methods from Bell Labs Research, network protocols derived from IETF standards, security research referencing RSA Security and OpenSSL, and machine learning applications building on algorithms from Stanford AI Lab, Berkeley AI Research, CMU Robotics Institute, and Oxford University. IPSN also embraces interdisciplinary work with groups at Johns Hopkins Applied Physics Laboratory, Max Planck Society, Fraunhofer Society, CERN, and Los Alamos National Laboratory.
The conference is organized by program committees populated by members from IEEE Communications Society, IEEE Computer Society, ACM SIGCOMM, ACM SIGMOBILE, and ACM SIGARCH. Workshops and tutorials often feature organizers from SIGKDD, SIGOPS, SIGCHI, and SIGPLAN and collaborations with institutions like The Alan Turing Institute, Wellcome Trust, Howard Hughes Medical Institute, and Simons Foundation. Venue rotations have included cities hosting chapters such as Paris, Tokyo, San Francisco, Seattle, London, Barcelona, Beijing, Singapore, Sydney, and Toronto. The program typically comprises keynotes, plenaries, poster sessions, demo sessions, and doctoral consortia, with sponsorship from Intel Labs, ARM Research, Nokia Bell Labs, Ericsson Research, and Huawei.
IPSN has published influential work on time synchronization linked to algorithms from NIST, clock research echoed in publications from Harvard-Smithsonian Center for Astrophysics, and localization techniques building on research at MIT CSAIL. Landmark contributions include energy-harvesting systems related to prototypes at Energizer Holdings and Enel, routing protocols echoing standards bodies such as IETF ROLL and security frameworks paralleling OWASP guidance. Papers later extended by researchers at Facebook Reality Labs, Google X, Apple Special Projects Group, Microsoft Azure Research, and Amazon Lab126 influenced deployments in smart cities studied by teams from New York City Department of Transportation, City of Chicago Department of Innovation and Technology, and Los Angeles Department of Transportation.
IPSN best paper and best student paper awards have recognized contributors affiliated with Turing Award laureates’ groups, collaborators from IEEE Fellow networks, and recipients associated with ACM Fellows. Awardees have progressed to positions at Stanford University School of Engineering, Princeton University School of Engineering and Applied Science, MIT School of Engineering, Caltech, and have received funding from Gates Foundation and honors from Royal Society and Academia Europaea. Industry recognition includes technology transfers to ARM Ltd., Intel Corporation, Qualcomm Incorporated, and spin-outs incubated at Y Combinator and Techstars.
Proceedings are published in IEEE Xplore and cited alongside proceedings from ACM Digital Library, Springer, Elsevier, and SIAM. Special issues have appeared in journals associated with IEEE Transactions on Mobile Computing, IEEE/ACM Transactions on Networking, ACM Transactions on Sensor Networks, Nature Communications, and Science Advances with cross-citations to works in Proceedings of the IEEE, Communications of the ACM, and IEEE Spectrum. Archived materials are referenced by repositories like arXiv, Zenodo, Figshare, and institutional repositories at MIT Libraries and Harvard Library.