Research on Security Deployment Based on Wireless Medical Sensor Networks in the Environmental Monitoring of the Hospital

With the rapid development of Internet of Things technology, wireless medical sensor networks (WMSNs) have been widely applied in hospital environmental monitoring. However, due to the openness and complexity of network environments, WMSNs face multiple security threats, which seriously affect the reliability and security of environmental monitoring data in hospitals. One of the main issues in designing such networks is how to deploy sensors to maximize their regional coverage. Then, the problem of maximizing network coverage is considered an NP hard problem. At present, approximate fitness functions are generally used, but their efficiency is not high enough. This article analyzes a novel and efficient genetic algorithm(NEGA) that overcomes some of the shortcomings of approximate fitness functions. It adopts a novel heuristic initialization and an accurate integration area calculation fitness function, which improves the efficiency and deployment security of the algorithm. Through simulation experiments, the algorithm was compared with five currently advanced methods. The results indicate that the algorithm has better performance in terms of the quality and stability of application solutions, and better solves the efficient deployment problem of hospital environmental monitoring.