Positioning in IoT Technology
Rana, Sohel (2017)
Rana, Sohel
2017
Information Technology
Tieto- ja sähkötekniikan tiedekunta - Faculty of Computing and Electrical Engineering
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Hyväksymispäivämäärä
2017-10-04
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201709141883
https://urn.fi/URN:NBN:fi:tty-201709141883
Tiivistelmä
Nowadays IoT (Internet of Things) technology is designed with massive deployment, wide coverage, low battery powered in the Radio Access Network. The application field of IoT technologies is diverging in all the parts of human life and industrial market. Recently, the new feature accurate positioning is making these IoT technologies more different and demandable from each other. IoT technologies can be classified in different basis like coverage area and band with specifications. Among several invented IoT technologies, LoRa (Long Range Wide Area Network) and NB-IoT (Narrow Band- IoT) are the most promising technologies based on some features called positioning, bandwidth specifications, modulation technique and wide coverage area. The performance evaluation of these IoT technologies will be make one-step forward to specify the better next generation IoT technology.
LoRa modulation technique is based on the Chirp Spread Spectrum (CSS) and NB-IoT uses the OFDMA (Orthogonal Frequency Division Multiple Access) modulation technique. However, LoRa is based on ToA (Time of Arrival) positioning technique and NB-IoT is designed based on OTDOA (Orthogonal Time Difference Arrival). After studying the detailed theoretical background of LoRa and NB-IoT, a simulation is implemented to observe the performance of LoRa and NB-IoT in terms of positioning accuracy. The matlab simulation tools is used to implement the simulation because of its flexibility to implement. From this implementation, several results are achieved to observe the positioning accuracy level.
After observing the simulation results called RMSE positioning error versus noise variance and RMSE positioning error versus number of transmitters, a couple of comparisons have done to evaluate the performance. It is found that the NB-IoT positioning accuracy is better than the LoRa technologies positioning level. However, some new parameters are also chosen for future work to enlarge this comparison with other IoT technologies and to achieve more accurate results to specify the required features of next generation IoT technologies.
LoRa modulation technique is based on the Chirp Spread Spectrum (CSS) and NB-IoT uses the OFDMA (Orthogonal Frequency Division Multiple Access) modulation technique. However, LoRa is based on ToA (Time of Arrival) positioning technique and NB-IoT is designed based on OTDOA (Orthogonal Time Difference Arrival). After studying the detailed theoretical background of LoRa and NB-IoT, a simulation is implemented to observe the performance of LoRa and NB-IoT in terms of positioning accuracy. The matlab simulation tools is used to implement the simulation because of its flexibility to implement. From this implementation, several results are achieved to observe the positioning accuracy level.
After observing the simulation results called RMSE positioning error versus noise variance and RMSE positioning error versus number of transmitters, a couple of comparisons have done to evaluate the performance. It is found that the NB-IoT positioning accuracy is better than the LoRa technologies positioning level. However, some new parameters are also chosen for future work to enlarge this comparison with other IoT technologies and to achieve more accurate results to specify the required features of next generation IoT technologies.