An enhanced asymmetric quantization Boolean encryption for secure routing in wireless sensor networks.

For Wireless Sensor Networks (WSNs) to be both secure and effective, a secure routing method is essential. Enhancing data aggregation, data security, and routing security has been the focus of recent research; nonetheless, these strategies frequently face major obstacles, such as time complexity, vulnerability to malicious assaults, and worries about data insecurity. In order to tackle these problems, a secure routing protocol for WSNs named Asymmetric Quantization Boolean Encryption Growth Network with Leopard Seal Routing Protocol (AQBEGNet-LSRP) has been suggested. In order to cluster sensor nodes, this model uses the Growth Optimizer (GO) technique, choosing the Cluster Head (CH) according to node similarity. A Deep Progressive Asymmetric Quantization Neural Network (DPAQNNet) is used for data aggregation, and Boolean Network Encryption with Asynchronous Updating Algorithm (BNEAUA) protects data during transmission and thwarts attacks. For encrypted data transit, the best routes are then chosen by the upgraded Leopard Seal Routing Protocol (LSRP). With its remarkable performance characteristics, which include a 110 Kbps throughput, an 80% network lifetime, and a low latency of 0.02 ms, in addition to its 99% Packet Delivery Ratio (PDR) and 99% network security, the suggested model is a dependable and effective method for transmitting secure data. [ABSTRACT FROM AUTHOR]