The 18th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2019) is a leading annual forum on research in networked sensing, information processing, 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, 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.

Selection of demonstration and posters will be based on a short abstract, evaluated in terms of technical merit, innovation, and the potential to stimulate interesting discussions and exchange of ideas at the conference. Accepted abstracts will be published on IEEE Xplore as part of the main conference proceedings. At least one author of every accepted demonstration or poster abstract is required to register and attend the conference. The authors of accepted posters and demos will participate in a one-minute madness session to introduce their research to the IPSN audience in 60 seconds. The best poster and demo will receive an award.


Poster abstracts should report on research work where at least some preliminary results are available, but they need not necessarily describe completed work. You will have a poster stand with a usable area of (height x width) 119 cm x 84 cm (47 in x 33 in). If you have any questions, please contact the poster co-chairs: Ambuj Varshney (Uppsala University) and Nirupama Bulusu(Portland State University).


Demo abstracts should describe both the technology being showcased as well as the user experience of the demo. Tables, power, and wireless connectivity will be provided. If a demo requires additional special arrangements, please describe them clearly in your submission using a separate third page (not part of the technical content of the abstract). The authors of the accepted demos will be invited to submit an optional short video together with the camera-ready version of the abstract. The videos will be linked from the conference program on the IPSN 2019 home page. If you have any questions, please contact the demo co-chairs: Muhammad Hamad Alizai (LUMS) and Amit Levy (Princeton University).

Submission Guidelines

  • Posters and Demos must be submitted as a single PDF containing no more than 2 pages, including figures, tables, and references. The submission should be self-contained ready for publication, including the title, authors, institutional affiliations and contact information, abstract, main body, and references.
  • Please DO NOT anonymize your submission.
  • Poster abstracts should also include a thumbnail of the planned poster as a third page, which will be considered in the selection process.
  • Demonstration abstracts should clearly describe special arrangements required for the actual demo as a third page (see above).
  • To submit a poster abstract, please add "Poster Abstract:" at the beginning of the manuscript's title.
  • To submit a demo abstract, please add "Demo Abstract:" at the beginning of the manuscript's title.
  • Poster and demonstration abstracts should be submitted as PDF files and be formatted using the standard IEEE templates for Microsoft Word or LaTeX formats using the 2017 ACM Master article template

Key Dates

Poster and Demo Submission: January 28th, 2019 11:59pm AoE(UTC-12)
Acceptance Notification: February 8th, 2019
Camera-Ready Deadline: February 15th, 2019


Posters and Demos can be submitted through: weblink.

Accepted Poster/Demo abstracts

Poster Abstracts
Privacy-preserving Control Message Dissemination for PVCPS
Kai Li, Yousef Emami, Eduardo Tovar (CISTER Research Centre, Portugal)
Synchronous Automatic Training for Wearable Sensors via Knowledge Distillation
Yuanyuan Bao, Yang Li, Liqiu Ma, Wai Chen (China Mobile Research Institute)
A Maximal Correlation Embedding Method for Multilabel Human Context Recognition
Lu Li, Yang Li (Tsinghua-Berkeley Shenzhen Institute, Tsinghua University); 
Xiangxiang Xu (Dept. of Electronic Engineering, Tsinghua University); 
Lin Zhang (Tsinghua-Berkeley Shenzhen Institute, Tsinghua University)
Array resource allocation based on KKT optimization for radar and communication integration
Zhenkai Zhang, Guangyao Zhu (Jiangsu University of Science and Technology); 
Mohamad Farzan Sabahi (University of Isfahan)
SoftLoRa -- A LoRa-Based Platform for Accurate and Secure Timing
Chaojie Gu, Rui Tan (Nanyang Technological University); Jun Huang (Peking University)
Vehicle Dispatching for Sensing Coverage Maximization in Mobile Crowdsensing Systems
Susu Xu, Xinlei Chen, Xidong Pi, Carlee Joe-Wong, Pei Zhang, Hae Young Noh 
(Carnegie Mellon University)
Unsupervised Anomaly Detection via Generative Adversarial Networks
Hanling Wang, Mingyang Li, Fei Ma, Shao-Lun Huang, Lin Zhang 
(Tsinghua-Berkeley Shenzhen Institute, Tsinghua University)
I2C Considered Wasteful: Saving Energy with Host-Controlled Pull-Up Resistors
Daniel Friesel, Olaf Spinczyk (Universität Osnabrück)
Evaluation of a LoRa Mesh Wireless Networking System Supporting Time-Critical Transmission and Data Lost Recovery
Chi-Wen Liang, Yung-Lin Wu, Cheng-Yu Shi, Shu-Min Lu, Huang-Chen Lee 
(Advanced Institute of Manufacturing with High-tech Innovations (AIM-HI), 
National Chung-Cheng University, Taiwan)
Gait Health Monitoring Through Footstep-Induced Floor Vibrations
Jonathon Fagert, Mostafa Mirshekari, Shijia Pan, Pei Zhang, Hae Young Noh 
(Carnegie Mellon University)
An Automated Real-time and Affordable Airborne Pollen Sensing System
Nam Cao (Institute of Technical Informatics, Graz University of Technology); 
Olga Saukh (Institute of Technical Informatics, TU Graz / CSH Vienna); 
Lothar Thiele (Computer Engineering and Networks Lab, ETH Zurich)
Multi-channel Software-based MAC Protocol for UWSNs
Ahmed Al Guqhaiman, Edward Chow (University of Colorado Colorado Springs)
On-Device Training from Sensor Data on Batteryless Platforms
Bashima Islam, Yubo Luo, Seulki Lee, Shahriar Nirjon 
(University of North Carolina at Chapel Hill)
IoT enabled Wi-Fi Indoor Positioning System using raster maps
Muhammad Usman Ali, Soojung Hur, Yongwan Park (Yeungnam University)
Carrier Scheduling in IoT Networks with Interoperable Battery-free Backscatter Tags
Carlos Pérez-Penichet (Uppsala University, Sweden); 
Thiemo Voigt (Uppsala University and RISE SICS, Sweden)
Demo Abstracts
The Dual Processor Platform Architecture
Jan Beutel, Roman Trueb, Reto Da Forno, Markus Wegmann, Tonio Gsell, 
Romain Jacob, Michael Keller, Felix Sutton, Lothar Thiele (ETH Zurich)
Low power, portable and infrastructure light indoor UWB ranging solution
Nicola Macoir, Matteo Ridolfi, Jan Bauwens, Bart Joris, Ben Vanherbruggen, 
Jen Rossey, Jeroen Hoebeke, Eli De Poorter (imec - Ghent university - IDLab)
Fast Feedback Control and Coordination with Mode Changes for 
	Wireless Cyber-Physical Systems
Fabian Mager (TU Dresden); Dominik Baumann (MPI for Intelligent Systems); 
Romain Jacob, Lothar Thiele (ETH Zurich); Sebastian Trimpe (MPI for Intelligent Systems); 
Marco Zimmerling (TU Dresden)
A Testbed for Long-Range LoRa Communication
Roman Trüb, Reto Da Forno, Tonio Gsell, Jan Beutel, Lothar Thiele (ETH Zurich)
A Sensor-Fusion Approach System for Detecting Early Extravasation of 
	Infant Intravenous Infusion
Jheng-Sing Lin, Che-Wei Kuo, Wei-Chen Huang, Huang-Chen Lee 
(Advanced Institute of Manufacturing with High-tech Innovations (AIM-HI), 
National Chung-Cheng University, Taiwan)
TotTernary - A Wearable Platform for Social Interaction Tracking
Andreas Biri (ETH Zurich); Pat Pannuto, Prabal Dutta (UC Berkeley)
SnapLoc: An Ultra-Fast UWB-Based Indoor Localization System for an Unlimited Number of 
Stocker Michael, Bernhard Großwindhager, Carlo Alberto Boano, Kay Römer 
(Institute for Technical Informatics, Graz University of Technology, Austria)
How Many Climb the Matterhorn?
Matthias Meyer, Timo Farei-Campagna, Akos Pasztor, Reto Da Forno, Jan Beutel, Lothar Thiele 
(Computer Engineering and Networks Laboratory, ETH Zurich)
Introducing Collaborative Reception to Low-Power Wide-Area Networking
Adwait Dongare, Anh Luong, Artur Balanuta, Anthony Rowe (Carnegie Mellon University)
Deskbuddy: an Office Activity Detection System
Amelie Bonde, Shijia Pan, Hae Young Noh, Pei Zhang (Carnegie Mellon University)
A Long-Lifetime Sensor Platform for a Reliable Internet of Things
Neal Jackson, Joshua Adkins, Prabal Dutta (University of California, Berkeley)
Secure Pairing via Video and IMU Verification
Carlos Ruiz, Shijia Pan, Hae Young Noh, Pei Zhang (Carnegie Mellon University); 
Jun Han (National University of Singapore)