Built In-Stack Localisation Services with ALO
Autor: | Thierry Val, Adrien van den Bossche, Rejane Dalce |
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Přispěvatelé: | Réseaux, Mobiles, Embarqués, Sans fil, Satellites (IRIT-RMESS), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Université Toulouse - Jean Jaurès (UT2J) |
Rok vydání: | 2020 |
Předmět: |
Ranging protocols
Computer science Wireless ad hoc network business.industry Node (networking) Routing table ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Testbed 020206 networking & telecommunications Ranging 02 engineering and technology Protocol stack [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] 0202 electrical engineering electronic engineering information engineering Overhead (computing) Localisation & Positionning 020201 artificial intelligence & image processing Time Of Flight business Wireless sensor network Index Terms-Localisation Service Computer network |
Zdroj: | PEMWN HAL IFIP IEEE PEMWN 2020 IFIP IEEE PEMWN 2020, Dec 2020, Berlin, Germany |
DOI: | 10.23919/pemwn50727.2020.9293075 |
Popis: | International audience; Localisation is a major topic in the Wireless Sensor Networks and the Internet Of Things. This Work-in-Progress paper introduces ALO, an Ad-hoc Localisation Object proposed to help in designing in-stack localisation services, i.e. a service that enables the computation of mobile node positions, relying only on information from the protocol stack such as signal properties, RSSI, message timestamps, neighbour tables and routing tables. The paper presents ALO and then focuses on the implementation of a Time-Of-Flight ranging process using ALO. A suitable ranging protocol, minimizing overhead, is presented and evaluated on the LocURa4IoT testbed, using Ultra-Wide Band (UWB)-based wireless sensor nodes. The results show that the ranging accuracy is under 20cm in indoor Line of Sight conditions, using this ranging protocol included in regular traffic messages, instead of using dedicated ranging messages. |
Databáze: | OpenAIRE |
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