Wireless distance estimation with low-power standard components in wireless sensor nodes

Zusammenfassung: In the context of increasing use of movingwireless sensor nodes the interest in localizing these nodesin their application environment is strongly rising. For manyapplications, it is necessary to know the exact position of thenodes in two- or three-dimensional space. Commonly usednodes use state-of-the-art transceivers like the CC430 fromTexas Instruments with integrated signal strength measurementfor this purpose. This has the disadvantage, that the signalstrength measurement is strongly dependent on the orientationof the node through the antennas inhomogeneous radiationpattern as well as it has a small accuracy on long ranges.Also, the nodes overall attenuation and output power has tobe calibrated and interference and multipath effects appear inclosed environments.Another possibility to trilaterate the position of a sensor nodeis the time of flight measurement. This has the advantage, thatthe position can also be estimated on long ranges, where signalstrength methods give only poor accuracy. In this paper wepresent an investigation of the suitability of the state-of-the-arttransceiver CC430 for a system based on time of flight methodsand give an overview of the optimal settings under variouscircumstances for the in-field application. For this investigation,the systematic and statistical errors in the time of flightmeasurements with the CC430 have been investigated under amultitude of parameters. Our basic system does not use anyadditional components but only the given standard hardware,which can be found on the Texas Instruments evaluation boardfor a CC430. Thus, it can be implemented on already existentsensor node networks by a simple software upgrade

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch
• Anmerkungen: Proceedings of the 14th Mechatronics Forum International Conference, Mechatronics 2014, Seite 502-509, 2014, isbn: 978-91-7063-564-9

Klassifikation und Themen

• Klassifikation: Informatik
• Schlagwort: Drahtloses Sensorsystem

Beteiligte, Orts- und Zeitangaben

• Ereignis: Veröffentlichung
• (wo): Freiburg
• (wer): Universität
• (wann): 2016
• Urheber: Jörger, Thorbjörn ; Höflinger, Fabian ; Gamm, Gerd Ulrich ; Reindl, Leonhard M.

Weitere Informationen

• DOI: 10.6094/UNIFR/10651
• URN: urn:nbn:de:bsz:25-freidok-106515
• Rechteinformation: Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 25.03.2025, 13:50 MEZ