A Novel Blockchain Approach for Improving the Security and Reliability of Wireless Sensor Networks Using Jellyfish Search Optimizer

For the past few years, centralized decision-making is being used for malicious node identification in wireless sensor networks (WSNs). Generally, WSN primary technology to support operations, and security issues are becoming progressively worse. In order detect nodes WSN, a blockchain-routing- trust-model-based jellyfish search optimizer (BCR-TM-JSO) created. Additionally, it provides complete trust-model architecture before creating blockchain data structure that identify nodes. further analysis, collect environmental communicate them cluster heads (CHs). JSO created address this issue by replacing CHs with regular based on maximum remaining energy, degree, closeness base station. Moreover, Rivest–Shamir–Adleman (RSA) mechanism an asymmetric key, which exploited securing transmission. The simulation outcomes show proposed BCR-TM-JSO model capable of identifying WSNs. Furthermore, method outperformed conventional blockchain-based secure routing trust management (BSRTM) distance degree residual-energy-based low-energy adaptive clustering hierarchy (DDR-LEACH), terms throughput (5.89 Mbps), residual energy (0.079 J), packet-delivery ratio (89.29%).