Hybrid Optimization Based on Genetic Routing and Scheduling Scheme With Secure Transmission in Wireless Sensor Networks

Nodes in networks have limited power for their important tasks because node energy exhaustion reduces network connection. Power-related node failures create system failures, reducing network connection. Furthermore, node mobility and congestion generate frequent connection failures and packet losses, affecting the QoS performance of the protocol. The authors used a hybrid optimization system (HOS) in this research to improve wireless network routing and transmission. To maintain network lifetime and consistent communication, wireless sensor networks need an energy-efficient protocol. This may be accomplished by using a high-quality routing approach.