Position and Movement Detection of Wireless Sensor Network Devices Relative to a Landmark Graph
The authors present a novel probabilistic framework for reliable indoor positioning of mobile sensor network devices. Compared to existing approaches, ours adopts complex computations in exchange for high localization accuracy while needing low hardware investment and moderate set-up cost. To that end, they use full distributional information on signal measurements at a set of discrete locations, termed landmarks. Positioning of a mobile device is done relative to the resulting landmark graph and the device can be found near a landmark or in the area between two landmarks. Key elements of their approach include profiling the signal measurement distributions over the coverage area using a special interpolation technique.