Self-adaptive Fuzzy QoS Algorithm for a Distributed Control Plane with Application in SDWSN

This paper proposes a self-adaptive algorithm for improving the quality of service (QoS) rules in the distributed control plane of a software defined network (SDN). The algorithm is based on fuzzing techniques and requires that the Controllers collaborate in order to determine the best rules to use for packet forwarding. Several simulations were run with different network configurations to verify the algorithm's effectiveness by measuring the packet miss ratio on the data plane switches. The results show that a distributed and collaborative approach is generating the set of rules with the lowest miss ratio as well as it is the most efficient in decreasing the miss ratio with each algorithm iteration, compared to other approaches which are non distributed or non collaborative.