Authors
Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi,
Title
Kernel-based machine learning using radio-fingerprints for localization in WSNs
In
IEEE Transactions on Aerospace and Electronic Systems
Volume
51
Issue
2
Pages
1324–1336
Publisher
IEEE
Year
2015
Indexed by
Abstract
This paper introduces an original method for sensors localization in wireless sensor networks that uses radio-location fingerprinting and machine learning. It consists of defining a set of fingerprints, relating some Received Signal Strength Indicator (RSSI) measurements to the locations where they are collected. Fingerprints are then used to define a model, whose inputs and outputs are the RSSIs and the sensors locations respectively. Several kernel-based machine learning techniques are investigated to define this model.
Affiliations
Offprint