Software Defined Networking Architectures for LoRaWAN

This thesis proposes new solutions for LoRaWAN networks taking advantages of Software Defined Networking architectures. In particular, an analysis of the current implementation of the Adaptive Data Rate mechanism developed by LoRaWAN standard, as well as a proposal of a new algorithm, will be provided. This will be addressed by considering both a cloud-based and a fog-based architecture in order to observe differences between the two approaches in a number of different scenarios. The proposed algorithms and the two architectures are compared via numerical results achieved through simulations and experimental tests.