Secure and load-balanced routing protocol in wireless sensor network or disaster management

Abstract

Distributed sensors are mainly used environment monitoring systems to monitor volcanic eruption, weather disaster, storm, tornadoes, hurricane, earthquake, and tsunami. The routing path of these networks is frequently affected by the presence of malicious and faulty nodes. The authors propose a secure, load-balanced routing (SLBR) protocol using wireless sensor networks for disaster management. The proposed protocol consists of a logical clustering technique and an efficient key management system. The improved moth-flame optimisation algorithm is used to compute the balanced clusters. The leader node is computed by the rank values with a tool of adaptive network-based fuzzy inference system. Then, the hybrid signcryption algorithm-based key management system for secure data transmission between the source node and destination node. The experimental result shows that the proposed SLBR protocol improves the security and balances the load compared to existing protocols.