Providing a New Method for Improving Fault Tolerance in Command and Control Networks Using Software Defined Networks

It is an imperative necessity to take care of the country's space and air traffic. Usually radar systems will be used to control and discover possible targets. The received information from a radar system in a specific region must be sent online to the higher levels of command and control centers in order to detect possible threats and make appropriate decisions. This exchange of information requires a reliable communication backbone. However, having an online and secure transceiver communication backbone is still a demanding process. Moreover, errors in the current communication networks will cause an increasing percentage of packet loss and delay which affect the Quality of Service (QoS). In this paper, in order to handle these problems and increase the fault tolerance in command and control networks, a backup path is provided that uses the backup path in case of occurring faults in the main path. In addition, Software Defined networks (SDN) as a new architecture have been used in communication networks to provide desirable QoS. In the proposed method, the fault tolerance problem is modeled as a linear programming problem, which is solved through a combinational method of Genetic Algorithm and Fuzzy System. This solution creates an optimal response to dynamic changes and uncertainty accomplished in the communication network. The results of the performance evaluation showed that the proposed method achieves better fault tolerance compared to existing methods.