geoscience and remote sensing faculteit... · master faculty of civil engineering and geosciences...
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Faculty of Civil Engineering and Geosciences
Geoscience and Remote Sensing
Master of Science Project
Theme: GNSS
LORA positioning
Obligatory committee members: Dr. ir. Sandra Verhagen (Geoscience and Remote Sensing)
Information: Dr.ir. Sandra Verhagen ([email protected], Room 2.16)
Background LORA is a Low Power Wide Area Network (LPWAN) specification intended for wireless battery operated Things in regional, national or global networks. LoRaWAN targets key requirements of Internet of Things such as secure bi-directional communication, mobility and localization services. This standard will provide seamless interoperability among smart Things without the need of complex local installations and enables the roll out of Internet of Things. For more information see: https://www.lora-alliance.org LORA networks are promising for acquiring data from sensors. LORA itself can also supply the approximate location of a sensor, but not very accurate (i.e. 50 meters).
Research questions By adding LORA sensors and LORA basestations at known locations the suggestion is that the accuracy of the positioning capability of the LORA network can be improved in a similar fashion like Differential GPS improves GPS.
• How can LORA positioning accuracy be improved by adding known locations?
• Does this improvement need to take place on basestations, on sensors or both?
• What improvement can be reached? • What influences LORA positioning in a
negative way? Can DLORA help here? Client Localizing sensors is very important, also economically. CGI is very much interested in establishing a front position in improving LORA positioning. The candidate will work with CGI in Rotterdam (http://www.cginederland.nl), for a period of 6-9 months.
Source: https://www.lora-alliance.org