An optimised radial-based flooding routing mechanism for energy management and security in wireless network

The advancement of the wireless network has increased the use of communication and information-sharing technologies in numerous applications. The key issues that suppress the efficiency of wireless networks are energy utilisation and security. Often a high energy consumption node remains malicious. Several prediction and energy efficient models exist, but they lack energy management due to limitation of control features and nodes' random behaviour. So, the intelligent attributes are required for the node monitoring and energy management. Therefore, a novel Pufferfish-based Radial Flooding Routing (PbRFR) model is developed in this research to enrich the energy efficiency and security of wireless networks. Primarily, the required communication nodes were established in the network. The model analyses the behaviour of the nodes to detect the higher energy-utilising malware nodes. Subsequently, the detected nodes were removed from the wireless communication environment and gained the finest outcome.