IPSN: Information Processing in Sensor Networks

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2020 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
IPSN 2019 International Conference on Information Processing in Sensor Networks
Apr 16, 2019 - Apr 18, 2019 Montreal, Canada Oct 17, 2018 (Oct 10, 2018)
IPSN 2018 ACM/IEEE Information Processing in Sensor Networks
Apr 11, 2018 - Apr 13, 2018 Porto, Portugal Oct 6, 2017 (Sep 29, 2017)
IPSN 2017 The 16th ACM/IEEE International Conference on Information Processing in Sensor Networks
Apr 18, 2017 - Apr 21, 2017 Pittsburgh, Pennsylvania, USA Oct 13, 2016 (Oct 6, 2016)
IPSN 2014 The 13th ACM/IEEE International Conference on Information Processing in Sensor Networks
Apr 15, 2014 - Apr 17, 2014 Berlin, Germany Oct 14, 2013 (Oct 7, 2013)
IPSN 2013 IPSN 2013: The 12th ACM/IEEE Conference on Information Processing in Sensor Networks
Apr 8, 2013 - Apr 11, 2013 Philadelphia, USA Oct 15, 2012 (Oct 8, 2012)
IPSN 2012 The 11th ACM/IEEE Conference on Information Processing in Sensor Networks
Apr 16, 2012 - Apr 19, 2012 Beijing, China Oct 14, 2011 (Oct 7, 2011)
IPSN 2010 The 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
Apr 12, 2010 - Apr 16, 2010 Stockholm, Sweden Feb 12, 2010
IPSN 2009 The 8th ACM/IEEE Conference on Information Processing in Sensor Networks
Apr 13, 2009 - Apr 16, 2009 San Francisco, USA Oct 22, 2008 (Oct 15, 2008)
IPSN 2008 International Conference on Information Processing in Sensor Networks
Apr 22, 2008 - Apr 24, 2008 St. Louis, Missouri, USA Nov 2, 2007
 
 

Present CFP : 2019

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.

Like prior years, IPSN 2019 will continue its co-location with CPS-IoT WEEK, the premier venue for research and development of Cyberphysical Systems, and its strong focus on algorithms, theory, and systems for information processing using networks of embedded, human-in-the-loop, or social sensors, as well as new hardware and software platforms, design methods, architectures, modelling, implementation, evaluation, deployment experiences, and tools for networked embedded sensor systems and the Internet of Things. Topics of interest include, but are not limited to:

Sensor data storage, retrieval, processing
Streaming sensor system tasking and operation
Coding, compression, and information theory
Theoretical foundation and fundamental bounds
Network and system architectures and protocols
IoT gateway platform architecture and services
Outdoor, wide-area sensing systems
Location, time, and other network services
Programming models, languages, and systems
Programming models for IoT ensembles
Modeling, simulation, and measurement tools
Operating systems and runtime environments
Applications in health, wellness & sustainability
Applications in smart cities and urban health
Experiences, challenges, comparisons of platforms
Discovery, coordination, and use of IoT services
Security and privacy in heterogeneous systems
IoT reliability, adaptability, and dependability
Technical assessment of emerging IoT standards
Wearable systems and data processing algorithms
Sensor-enabled drone platforms and algorithms
In addition to IPSN's traditional focus, IPSN 2019 will place a particular emphasis on embedded machine learning and computer vision, with a special track centered on these topics. In this case, topics of interest include, but are not limited to::

Machine learning and deep learning on sensor data
New hardware and system design to enable machine learning on sensor data
Novel embedded machine learning algorithms
Data related issues, such as methods, tools, and analysis
Computer vision for resource-constrained and mobile platforms


Submission Guidelines
Submission guidelines are available here



Response Process
As in previous years, IPSN will also elicit a review and response process. After the initial review, the program committee may request a short response from selected papers for additional clarifications. The authors will get a short time window of roughly 24 hours to respond. Participation to the response process is not mandatory.



Joint statement from IPSN and IoTDI
The two conferences are collaborating to create new synergies, also exploiting their CPSWEEK bi-annual co-location. Prospective authors are thus strongly encouraged to consider these guidelines:

Contributions of embedded nature and applying to network segments from the IoT gateway to field devices should be submitted to IPSN. Examples include localization, low-power wireless networking, and embedded data processing.
Contributions with an end-to-end perspective or applying to network segments from the IoT gateway to the cloud should be submitted to IoTDI. Examples include cloud data processing, edge computing, and systems covering multiple network segments.

The TPC chairs of both conferences may agree to move a submitted paper from one to the other if they see a better fit, subject to the authors’ consent. The final decision about where to submit, and therefore what program committee will review the work, ultimately rests with the authors.



Key Dates
Paper Abstract Registration: October 10th, 2018 11:59pm AoE
Paper Submission Deadline: (Firm*): October, 17th 2018 11:59pm AoE
Authors’ rebuttal period December 19th - 21st, 2018
Acceptance Notification: January 16th, 2019
Camera-Ready Deadline: February 15th, 2019
*Please note the CPS-IoT WEEK policy for firm deadlines
 

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