Kernel-based localization using fingerprinting in wireless sensor networks
Résumé
Indoor localization is an important issue in wireless sensor networks for a very large number of applications. Recently, localization techniques based on the received signal strength indicator (RSSI) have been widely used due to their simple and low cost implementation. In this paper, we propose an algorithm for localization in wireless sensor networks based on radio-location fingerprinting and kernel methods. The proposed method is compared to another well-known localization algorithm in the case of real data collected in an indoor environment where RSSI measures are affected by noise and other interferences.
Mots clés
kernel-based localization
indoor localization
received signal strength indicator
RSSI
radio-location fingerprinting
kernel methods
indoor environment
interference
Wireless communication
Conferences
Signal processing
Kernel
Real-time systems
Signal processing algorithms
Wireless sensor networks
fingerprinting
localization
indoor radio
radiofrequency interference
telecommunication signalling
| Origine | Fichiers produits par l'(les) auteur(s) |
|---|
Loading...