Why Wireless Localization?

Provide context-aware services

Ubiquitous and pervasive computing envisions context-aware systems that gather real world information from many fixed and mobile microchips and sensors integrated in everyday objects. To provide valuable services, it is necessary to estimate the location of users or objects.

Locating assets and users is one of the key issues to enable transparent and immediate services. Several interesting location-aware applications are emerging in everyday life: Indoor asset tracking and monitoring of objects; People tracking inside a facility; Shopping assistance in malls; Museum guide systems;


Services for Customers

Deliver your own location-aware services directly to user device

After all, what better opportunity to get a consumer to respond to your message than when they're right by your location?

ustomer walks into the shop and a notification appears on its smart-phone. "Welcome back, and check out our special offer" It could be his favorite bottle of Brunello, or a new range of handbags from preferred brand; but the offer is just for him, based on his transaction history and where he is located.


Services for Providers

Identify your audience and upgrade marketing analysis with geo-data

Context marketing is all about presenting the right content to the right person at the right time.
Thanks to the WaLK framework, providers get access to powerful real-time location and users analytics.

WaLK might interact also with 3rd-party software and services, such as security systems, environmental automation and conditioning systems, in order to detect threats and optimize power consumption in real-time.


Key Features

WaLK is a Scalable, Opportunistic Location System
designed for Indoor environments

Low Cost

WaLK does not rely on custom hardware. We exploit available networks and devices, such as Wi-Fi 802.11 abg/ac/n, Bluetooth.

Fast Deployment

WaLK follows the plug and play paradigm. Just few information about the building and its wireless devices are required to get started.


We apply state-of-the-art and edge-research algorithms designed by our experts and published on journals such as IEEE Proceedings.

Scalable Accuracy

Position accuracy is estimated in real-time, it depends on the environment complexity and available hardware, up to few meters.

No Maintenance

WaLK does not rely on Wireless fingerprints neither on long offline training. You won't have to update the system periodically.


WaLK supports environmental changes and network upgrades nicely. It comes with interactive GUI tools to assists the configuration process.

Localization Video Demostration

WaLK localizing user at Department of Information Engineering and Computer Science
- University of Trento, Italy

In the demonstration, only wireless information are used as they are available from the standard smart-phone.
No interpolations, filters or dead-reckoning sensors.

Comparison of two operative wireless models:

Localization without Information about the Environment

Using Path-Loss propagation wireless model, WaLK requires only the knowledge of Wi-Fi Access Points displacement.

Localization using EM-Modeling of the Floor

When blueprint and environment information are available, WaLK can exploit complex Ray-Tracing wireless propagation modeling and improve accuracy.

Occupancy Video Demostration

WaLK detecting room occupancy at Department of Information Engineering and Computer Science
- University of Trento, Italy

In the demonstration, only wireless information are used as they are available from the standard smart-phone.
No interpolations, filters or dead-reckoning sensors.


  • F. Viani, M. D. Migliore, A. Polo, M. Salucci, and A. Massa, "An iterative classification strategy for multi‐resolution wireless sensing of passive targets," Electronics Letters, vol. 54, no. 2, pp.101‐103, January 2018.
  • H. Ahmadi, F. Viani, A. Polo, and R. Bouallegue, "Learning ensemble strategy for static and dynamic localization in wireless sensor networks," International Journal of Network Management, vol. 27, no. 4, pp. 1-10, July 2017.
  • H. Ahmadi, A. Polo, T. Moriyama, M. Salucci, and F. Viani, "Semantic wireless localization of WiFi terminals in smart buildings," Radio Science – Special Issue on ‘Innovative Microwave Devices, Methods and Applications,’ Invited Paper, vol. 51, no. 6, pp. 876-892, June 2016.
  • A. Polo, "Exploiting Frequency Diversity in Propagation-based Wireless Localization of Mobile Devices," Atti XXI Riunione Nazionale di Elettromagnetismo (XXI RiNEm), Parma, pp. 144-147, 12-14 Settembre 2016.
  • F. Viani, A. Polo, and E. Giarola, "Exploiting EM simulation modelling for wireless indoor localization," 10th European Conference on Antennas and Propagation (EUCAP 2016), Davos, Switzerland, pp. 1-4, April 11-15, 2016.
  • T. Moriyama, A. Polo, F. Viani, and A. Massa, "Improved wireless localization of mobile devices in smart indoor scenarios," 2015 IEEE Mediterranean Microwave Symposium (MMS’2015), Lecce, Italy, pp. 1-4, November 30 – December 2, 2015.
  • A. Polo, F. Viani, E. Giarola, G. Oliveri, P. Rocca, and A. Massa, "Semantic wireless localization enabling advanced services in museums", 8th European Conference on Antennas and Propagation (EUCAP 2014), The Hague, The Netherlands, pp. 443-446, April 6-11, 2014.
  • F. Viani, F. Robol, A. Polo, P. Rocca, G. Oliveri, and A. Massa, "Wireless architectures for heterogeneous sensing in smart home applications – Concepts and real implementations," Proceedings of the IEEE – Special Issue on 'The Smart Home,' Invited Paper, vol. 101, no. 11, pp. 2381-2396, November 2013.

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