Using a Dynamic Sensor Network to Obtain Spatiotemporal Data in an Urban Environment

Using a Dynamic Sensor Network to Obtain Spatiotemporal Data in an Urban Environment

Angelova, Lilia (Student TU Delft)
Flikweert, P.L.M. (TU Delft Design Informatics)
Karydakis, Panagiotis (Student TU Delft)
Kersbergen, Daniël (Student TU Delft)
Teeuwen, Roos (Student TU Delft)
Valečkaitė, K. (TU Delft Design Informatics)
Verbree, E. (TU Delft OLD Department of GIS Technology)
Meijers, B.M. (TU Delft OLD Department of GIS Technology)
van der Spek, S.C. (TU Delft OLD Urban Design)

Kiefer, Peter (editor)
Huang, Haosheng (editor)
Van de Weghe, Nico (editor)
Raubal, Martin (editor)

2018

Along with the rise of the smart city movement, Internet of Things is an upcoming phenomenon. Objects and devices are becoming more and more wirelessly interconnected, communicating information between themselves and to human beings. As an addition to static sensor networks that gather real-time environmental data, the feasibility of implementing a dynamic sensor network based on LoRa communication is researched. To achieve such a dynamic system, a self-developed sensor platform was constructed, based on the microcontroller LoPy, measuring temperature and humidity. The emphasis of the research is on the localisation of the sensor platforms. A WiFi fingerprinting radiomap was constructed based on available MAC-addresses, their signal strengths, and GPS coordinates. In this method the GPS module is only used for the composition of the radiomap. The quality of the radiomap methodology was assessed by constructing it of measurements gathered in four days, and testing it for the remaining three days. This test gave a correctness of 50% while another 38% of measurements were localised in a neighbouring cell. The quality of the collected sensor data turned out to be dependent on the weather conditions and the placement location on the carrier vehicle. Another topic of research was LoRa communication, which was deemed as very limited for dynamic implementations, as the sending of location-related data takes up a large part of the already limited message size.

Dynamic Sensor Network
Internet of Things
WiFi Fingerprinting
Localisation
Sensor Data

http://resolver.tudelft.nl/uuid:435be54d-0e44-487d-9d7e-10b0d333992b

https://doi.org/10.3929/ethz-b-000225582

ETH Zürich

Adjunct Proceedings of the 14th International Conference on Location Based Services

Institutional Repository

conference paper

© 2018 Lilia Angelova, P.L.M. Flikweert, Panagiotis Karydakis, Daniël Kersbergen, Roos Teeuwen, K. Valečkaitė, E. Verbree, B.M. Meijers, S.C. van der Spek