Implementing Particle Swarm Optimization in Electronic Information Sensing Node Deployment for Smart Sensor Network Energy Optimization

The article discusses the Relentless Particle Swarm Optimization Repeated Routing Protocol (RPSORP), a new model to find the optimal methods to set up Smart Sensor Networks (SSN) using as little energy as possible. The Discrete Particle Swarm Optimization (DPSO) picks the least EC path that meets the best routing and covering requirements. The protocol contributes to efficiency in node energy use, network coverage, and connectivity range by including a fitness metric. Results indicate that RPSORP outperforms traditional routing methods regarding network lifetime, deployment efficiency, and EC. Fields such as environmental monitoring, innovative healthcare, and security systems, where energy-efficient data communication is vital, can apply this scalable solution. The RPSORP presents a real-time and effective solution to energy management in SSN, making it more efficient and reliable.