IoT Network Performance
Benito, Alvaro (2020)
2020
Degree Programme in Information Technology, MSc (Tech)
Informaatioteknologian ja viestinnän tiedekunta - Faculty of Information Technology and Communication Sciences
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Hyväksymispäivämäärä
2020-07-31
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202008066406
https://urn.fi/URN:NBN:fi:tuni-202008066406
Tiivistelmä
The scope of this thesis is to analyse the performance of an IoT Mesh network. This network is based on a wireless connectivity protocol called Wirepas Mesh. As a part of the Finnish national project called 5G-FORCE, a meshed test network was set up at Tampere University, to test the latest technologies in the IoT and 5G fields.
The nodes from this network are capable of metering data like temperature or humidity, but also diagnostic metrics data like signal strength, neighbour’s nodes, or node’s coordinates locations. This diagnostic data will be used for the development of the thesis.
The theoretical background consists in an introduction to the IoT and Mesh technology, specifying how Wirepas mesh protocol and the physical layer works. Finally, a study and simulation of 3GPP TR 38.901 technical report for propagation model indoors will be made in order to compare the theoretical model with the practical results.
The practical part consists in parsing and analysing the data provided by the different nodes that take part in the network. Diagnostic metrics data will be used to produce heatmaps of the network area, as well as different studies of the behaviour of the network, like pathloss-distance behaviour among others.
The nodes from this network are capable of metering data like temperature or humidity, but also diagnostic metrics data like signal strength, neighbour’s nodes, or node’s coordinates locations. This diagnostic data will be used for the development of the thesis.
The theoretical background consists in an introduction to the IoT and Mesh technology, specifying how Wirepas mesh protocol and the physical layer works. Finally, a study and simulation of 3GPP TR 38.901 technical report for propagation model indoors will be made in order to compare the theoretical model with the practical results.
The practical part consists in parsing and analysing the data provided by the different nodes that take part in the network. Diagnostic metrics data will be used to produce heatmaps of the network area, as well as different studies of the behaviour of the network, like pathloss-distance behaviour among others.