Real Time Continuous Behavior Class Based Secure Routing for Improved QoS in Industrial Networks
N. Babu, Tamilarasi Suresh · 2022
The problem of data routing in industrial networks has been well studied and analyzed. Towards the scope, there exist numerous techniques in routing data packets in industrial networks which would use several features of network conditions like traffic, congestion and so on. However, they suffer to achieve higher performance in many QoS parameters. In the intension to improve the QoS performance of industrial networks, an efficient Continuous Behavior Class Based Secure Routing (CBCSR) algorithm is presented in this paper. The method not just consider the behavior of different components of the industrial network but also looks on the key metrics of network and how the nodes behave on different conditions. To perform this, the method identifies various routes to reach any destination where the service available including different interfaces, components, devices and other tiny networks. According to the nodes and devices identified, the method discovers routes available as per the geographic location of wireless devices independent of their mobility. Within the list of routes identified, the method computes the value of Class Based Secure Route Measure (CBSRM) for various classes of packets. Finally, a single route has been identified and selected for data transmission. The proposed approach improves the performance in secure routing and support the development of QoS of industrial IoT sensors networks.