Performance analysis of congestion control protocols in internet of things networks

The extensive flow of information in the Internet of Things (IoT) networks greatly increases the importance of congestion control. Therefore, in the academic literature, there are many studies about how to solve congestion control and on which layer to handle it. In this thesis, it is examined how the protocols written for congestion control on the application layer (CoAP, CoCoA, etc.) perform experimentally by running various combinations of several sub-layers with different protocols in IoT networks. In addition, the relationship between the application layer protocols and the objective functions of the network layer protocol RPL is examined. As a result, it has been proved that OF0 performs better than MRHOF, and CoCoA Strong was observed as the best performing congestion control mechanism. The most efficient results were obtained in scenarios where OF0 was used with ContikiMAC.