Extremely low power indoor localisation system

Proceedings - 8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems, MASS 2011

Volumn , Issue , 2011, Pages 801-806

  Petrovic, Darko ^a   Kanan, Riad ^a  

^a University of Applied Sciences Valais   (Switzerland)

Author keywords

Indoor localisation; inductive coupling system; low power; mobile sensor

Indexed keywords

BATTERY LIFETIME; CURRENT CONSUMPTION; DUTY CYCLES; FIXED NODES; INDOOR ENVIRONMENT; INDUCTIVE COUPLINGS; KEY ELEMENTS; LOCALISATION; LOW POWER; MOBILE SENSORS; MOBILE UNITS; OBJECT POSITIONS; RECEIVED SIGNAL STRENGTH; SAVE ENERGY;

ELECTROMAGNETIC INDUCTION; LOW POWER ELECTRONICS; RADIO FREQUENCY IDENTIFICATION (RFID); WIRELESS AD HOC NETWORKS;

ENVIRONMENTAL TESTING;

EID: 83355161526     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MASS.2011.91     Document Type: Conference Paper

References (5)

1. L. M. Ni, et al. LANDMARC: Indoor Location Sensing Using Active RFID. Procs. of PerCom, 2003.
2. R. Kanan, P. Pompili "Procédé et système de localisation de noeuds mobiles à basse consommation", Swiss Pattent, 01781/08, 20-11-2008.
3. P. Pivato, L. Fontana, L. Palopoli, D. Petri, "Experimental Assessment of a RSS-based Localization Algorithm in Indoor Environment ", Instrumentation and Measurement Technology Conference (I2MTC), 2010 IEEE
4. Shih-Hau Fang and Tsung-Nan Lin, "Accurate WLAN Indoor Localization Based on RSS Fluctuations Modeling ", IEEE International Symposium on Intelligent Signal Processing, 2009.
5. Robert Bosch GmbH: CAN Specification, version 2.0, 1991.