Internet-of-Things Monitoring System of Robot Welding Based on Software Defined Networking

In view of the heterogeneous characteristics and enormous connections of the underlying networks in Internet of Things(IOT), we proposed a SDN-IOT architecture including physical layer, control layer and application layer in this paper. Based on this architecture, we designed a robot welding monitoring system. Considering a large number of different QoS requirements of data flows in IOT, we proposed a kind of load balance routing algorithm based on Glowworm Swarm Optimization--GSOR. In GSOR, the luciferin updating rules of the resident glowworm is mapped to a function with several parameters which reflect the network state and Qos requirements of data flows. The simulation results show that GSOR is able to plan routes according to the given Qos requirements of a data flow and it also outperforms ECMP protocol.