Published May 2008
| Version v1
Journal article
Object tracking through RSSI measurements in wireless sensor networks
Contributors
Others:
- Department of Information Engineering and Computer Science (ELEDIA Research Group) ; University of Trento [Trento]
- Laboratoire d'Electronique, Antennes et Télécommunications (LEAT) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
- Laboratoire des signaux et systèmes (L2S) ; Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)
Description
The localisation of moving and transceiver-free objects is addressed by processing the Received Signal Strength Indicator (RSSI) available at the nodes of a wireless sensor network. Starting from the RSSI measurements, the probability of the presence of unknown mobile objects is determined by means of a customised classification approach based on a support vector machine. Experimental results assess the feasibility of the proposed approach.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://hal.science/hal-01169187
- URN
- urn:oai:HAL:hal-01169187v1