Low Power Wide Area Network (LPWAN) technologies recently gained interest
from the research and industrial community. Internet of Things (IoT) devices communicate directly with gateways, which act as bridges towards a central network server and the
Internet. In this context, it is important to study how to place multiple gateways in an area
considering Quality of Service, Capital expenditure (CAPEX), and operational expenditure (OPEX) requirements. This is because network planning and optimization are considered to be significant issues that impact on the application performance, CAPEX, and
OPEX. In this master thesis, we propose an optimal LoRa gateway placement (PLACE).
It considers the Gap statistics method to find the number of LoRa gateway, which is
used to compute the gateway placement using the Fuzzy C-Means algorithm. Simulation
results show that PLACE reduced in 36% the CAPEX and OPEX compared to the grid
and random gateway placement, while keeps a similar Packet Delivery Ratio.
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