The Bluetooth Medallion: a wearable device for Human MANETs

This paper introduces the Bluetooth Medallion (BTM), a device especially designed to work in Human Mobile Ad-Hoc NETworks (MANETs). Its main areas of application are: the collection of high granularity connectivity data through time (detection of nearby nodes) and testbed to evaluate and refine MANET routing protocols. We present an ongoing long term experiment carried out in an office scenario where a Bluetooth Human MANET has been set up to collect proximity information of people vs people and people vs anchors during a long period of time. At the end of this experiment a publicly available dataset with the connectivity data will be set up. Dynamic Weighted MultiDimensional Scaling with Binary Filter (DWMDS-BF), our connectivity based tracking system, will obtain people real tracking traces based on the connectivity data. Compared to previous works, the Bluetooth Medallion is a device that grants more reliability and a higher sample rate looking for nearby nodes (high granularity) than the devices used so far.