This project investigates novel MAC scheduling strategies that take advantage of the knowledge of real-time position estimates and other context information in challenging indoor environments, with a mix of static and mobile devices and in presence of dense networks.

The use of the Wishful software platform, hardware radio and testbeds as well as of the positioning system of the Pervasive Group led by Dr. Giustiniano (‘Indoor Location Technology Has Become Simpler’) will enable the early experimental investigation of network applications based on real-time location data using commodity WiFi radios.