Fuzzy Logic and Modified Butterfly Optimization with Efficient Fault Detection and Recovery Mechanisms for Secured Fault-Tolerant Routing in Wireless Sensor Networks

Abstract

Energy efficiency and security are the most vital requirements in Wireless Sensor Networks (WSN). Therefore, modern routing protocols have been forced to consider these issues as the primary challenges. This study proposes the develop meat of an Energy Efficient Secured Fault-Tolerant Routing (EESFTR) protocol that improves routing efficiency and also increasing network reliability. The proposed EESFTR protocol consists of cluster head (CH) selection, optimal route selection, fault detection and recovery process. First, the clustered network utilizes Fuzzy logic to select optimal energy surplus CH. The routes are then discovered and the optimal routes are selected based on energy, link quality and network lifetime designing a Modified Butterfly Optimization Algorithm (MBOA). To ensure security and fault-tolerance, the efficient Elliptical Curve Digital Signature Algorithm is enhanced through unknown parameter signature verification. Finally, the faults which are detected to be malicious to the network are either repaired or eliminated based on a disruptive process. The proposed EESFTR protocol has been evaluated and compared with the existing routing protocols to highlight its efficiency. The results showed that the proposed EESFTR protocol has better a routing performance with 13% less time consumption, 8.3% less energy consumption, 20% increased lifetime, and 12% reduced packet drops to ensure higher fault tolerance and security when compared to the performance of the efficient existing routing protocols