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2008
Springer

Algorithms for Location Estimation Based on RSSI Sampling

9 years 9 months ago
Algorithms for Location Estimation Based on RSSI Sampling
In this paper, we re-examine the RSSI measurement model for location estimation and provide the first detailed formulation of the probability distribution of the position of a sensor node. We also show how to use this probabilistic model to efficiently compute a good estimation of the position of the sensor node by sampling multiple readings from the beacons (where we do not merely use the mean of the samples) and then minimizing a function with an acceptable computational effort. The results of the simulation of our method in TOSSIM indicate that the location of the sensor node can be computed in a small amount of time and that the quality of the solution is competitive with previous approaches.
Charalampos Papamanthou, Franco P. Preparata, Robe
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where ALGOSENSORS
Authors Charalampos Papamanthou, Franco P. Preparata, Roberto Tamassia
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