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Novel RSSI-Based localization in LoRaWAN using probability density estimation similarity-based techniques

Journal article

Fast facts

Internal authorship
Prof. Dr. Christof Röhrig
Further publishers
Mauricio González-Palacio, Mario Luna-delRisco, John García-Giraldo, Carlos Arrieta-González, Liliana González-Palacio, Long Bao Le
Publishment
- 2025
Purpose of publication
Research
Organizational unit
Computer science
Subjects
- Ingenieurinformatik/Technische Informatik
Research structures
- Institute for the Digital Transformation of Application and Living Domains (IDiAL)
Research fields
- Internet of Things

Quote

M. González-Palacio, M. Luna-delRisco, J. García-Giraldo, C. Arrieta-González, L. González-Palacio, C. Röhrig, and L. B. Le, "Novel RSSI-Based localization in LoRaWAN using probability density estimation similarity-based techniques," Internet of Things, vol. 31, pp. 1-21, 2025.