Privacy-Friendly Wi-Fi-Based Occupancy Estimation with Minimal Resources

Occupancy estimation is becoming an increasingly popular research topic, as solutions can be deployed both to the challenges of demand-driven ambient comfort control applications, and to the challenges of building safety and security. With our work, we aim to estimate the number of people in a particular area of a building, using only existing infrastructure. To achieve this, we collect information from the Wi-Fi Access Points installed throughout a building, in such a way that the privacy of the persons using the Wi-Fi resources remains intact. While several approaches have been proposed to address the occupancy question, our main contribution lies in that our solution uses only standard Wi-Fi infrastructure, already deployed in any modern building. In addition, we claim that our solution comes at virtually zero cost, as our mechanisms add negligible network traffic, using minimal network and processing resources, and it does not require specialised hardware.