Ad-hoc smart spaces aim at resource-rich mobile devices sharing resource and context data with others near them spontaneously. Thus, a device may, e.g., obtain a more complete context model by utilizing sensor data of its neighbors via wireless communication, such as Bluetooth. The highly dynamic device neighborhood challenges resource discovery, as the devices have to organize themselves autonomously.

This paper evaluates different resource discovery protocols in Bluetooth-based ad-hoc smart spaces. We simulate the protocols in different scenarios taking into account the scatternet structure of the network. We suggest request flooding for small settings and random replication for medium to large spaces.