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co-located with The 24th International Conference on Pervasive Computing and Communications (PerCom 2026)
Pisa, Italy, March 16-20, 2026.


WiSense 2026

IEEE WiSense: 3rd International Workshop on Pervasive Wireless Sensing and Edge Computing


Scope

Wireless sensing has recently attracted a great deal of attention thanks to its non-invasive and sensor-free nature. Contrary to traditional sensor-based and wearable sensing, wireless sensing does not need any sensors, but leverages the modifications induced on the wireless channel by objects and people to infer information about their position and movement within a physical environment. This leads to an unobtrusive system that can be integrated with nowadays transmission technology. Moreover, if operated, e.g., at sub-6GHz frequencies, wireless signals propagate through walls, allowing sensing to be performed even in non-line-of sight (NLOS) scenarios with a subsequent increase in the sensing coverage over camera-based systems. Different types of wireless signals have been employed for sensing including WiFi, RFID, mmWave, UWB, and acoustic signals. As wireless signals bounce off of physical objects within the environment such as static objects like walls or furniture, as well as any humans in the environment, their characteristics (e.g., amplitude, phase) change uniquely. This then provides an opportunity to sense the environment and obtain contextual information (e.g., recognizing the motion) through a finegrained analysis of signal variations. Wireless sensing has been considered in various applications including but not limited to localization, human activity and gesture recognition, gait estimation, fall detection, respiration monitoring, crowd counting, etc.

Deploying the wireless sensing systems on edge devices is also important, to reduce their costs and make them scalable. However, this comes with several challenges due to the constrained resources (e.g., memory, computation power, energy) of edge nodes. Accordingly, in this workshop we also look for solutions that develop novel, lightweight and cost-efficient techniques that can run at the network edge, providing means to train and run machine learning models in an energy efficient manner, both according to centralized and distributed training paradigms. We are also interested in the characterization of energetic aspects on currently available edge computing technology, including but not limited to empirical energy models.

Topics

The objective of this workshop is to bring together the research community utilizing different types of wireless signals for sensing purposes, and the community dealing with computing for embedded and energy efficient systems, and have them benefit from each other's findings. The workshop will also serve as a discussion platform about the standardization and industrial implications of wireless sensing and edge computing, by also targeting potential privacy issues. Toward these goals, the workshop will span topics including, but not limited to:

  • Human activity, gesture recognition, health, and emotion sensing
  • User identification and authentication
  • Occupancy monitoring and counting
  • Localization and navigation via passive wireless sensing
  • Privacy and security issues and their prevention
  • Adversarial sensing and intrusion detection
  • Optimized machine learning algorithms for wireless sensing systems
  • Real-time wireless sensing at the network edge
  • Learning techniques and architectures for edge computing systems
  • Federated and distributed learning for energy constrained edge devices
  • Implementation of machine and deep learning algorithms on embedded and energy constrained devices
  • Energy assessment and characterization of energy constrained edge devices for both model training and inference
  • Multiband sensing, sensing in multi-static radar networks
  • Cooperative coherent multi-static imaging
  • Novel energy efficient implementations of signal processing techniques for wireless sensing systems
  • Wireless sensing testbeds and experimentation activities
  • Applications of pervasive wireless sensing (agriculture, health, material identification)
  • Industrial developments and plug-n-play solutions

Submissions

Submissions will be made using Edas.

Manuscripts submitted for consideration should not have been already published elsewhere and should not be under review or submitted for review elsewhere during the consideration period. Manuscripts must be written in English, are limited to 6 pages, single spacing, double column, and must strictly adhere to the IEEE template format available here. All accepted papers will be included and indexed in the IEEE Digital Library (IEEE Xplore), showing their affiliation with IEEE Percom 2026. At least one author of each accepted paper is required to attend and present his/her work at the workshop. Papers without a valid full registration or that are not presented in-person will be excluded from the proceedings.

Camera Ready Instructions

Please see details in Percom page.

Committees



      Technical Program Committee
    • Akira Uchiyama (Osaka University, Japan)
    • Andrea Passarella (CNR-IIT, Italy)
    • Beibei Wang (Origin Wireless, USA)
    • Christos Masouros (Imperial College London, UK)
    • Deniz Gunduz (Imperial College London, UK)
    • Florenc Demrozi (University of Stavanger, Norway)
    • Francesco Restuccia (Northeastern University, USA)
    • Gianpietro Picco (University of Trento)
    • Giorgio Matteo Vitetta (University of Modena and Reggio Emilia, Italy)
    • Hazem Sallouha (KU Leuven, Belgium)
    • Jesus Omar Lacruz (IMDEA Networks, Spain)
    • Jie Yang (Florida State University, USA)
    • Joerg Widmer (IMDEA Networks, Spain)
    • Mahbub Hassan (The University of New South Wales, Australia)
    • Marcos Katz (University of OULU, Finland)
    • Nicolò Decarli (CNR-IEIIT)
    • Paolo Bellavista (University of Bologna, Italy)
    • Paolo Casari (University of Trento, Italy)
    • Paolo Dini (CTTC, Spain)
    • Parth Pathak (George Mason University, USA)
    • Qing Wang (Delft University of Technology)
    • Salil Kanhere (UNSW Sydney, Australia)
    • Sofie Pollin (KU Leuven, Belgium)
    • Steven Hernandez (Google Research, USA)
    • Usman Mahmood Khan (Facebook, USA)
    • Vivek Jain (Bosch Research, USA)
    • Xavier Vilajosana (Universitat Oberta de Catalunya)
    • Xuyu Wang (Florida International University, USA)

Important Dates

Paper submission deadline: November 17, 2025
Author Notification: January 5, 2026
Camera-ready submission: February 2, 2026
Workshop date: TBD

Workshop Program

TBD
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