Mobility-based Tracking Using WiFi RSS in Indoor Wireless Sensor Networks
Résumé
Tracking of mobile sensors is an important research issue in wireless sensor networks. This paper presents a zoning-based tracking technique that works efficiently in indoor environments. The targeted area is composed of several zones, the objective being to determine the zone of the mobile sensor in a real-time tracking process. The proposed method creates a belief functions framework that combines evidence using the sensors mobility and observations. To do this, a mobility model is proposed by using the previous state of the sensor and its assumed maximum speed. Also, an observation model is constructed based on fingerprints collected as WiFi signals strengths received from surrounding Access Points. Real experiments demonstrate the effectiveness of this approach and its competence compared to state-of-the-art methods.
Mots clés
indoor radio
mobility management (mobile radio)
RSSI
target tracking
wireless LAN
mobile sensor
real-time tracking process
mobility model
WiFi signals strengths
WiFi RSS
indoor wireless sensor networks
zoning-based tracking technique
access points
mobility-based tracking
Sensors
Wireless fidelity
Indoor environments
Data models
Wireless sensor networks
Real-time systems
Computational modeling
Belief functions
evidence fusion
mobility
tracking
WiFi signals
| Origine | Fichiers produits par l'(les) auteur(s) |
|---|
Loading...