Secure the Supervise Cluster-Base for Health Institutions and Using in Remote Health

During this decade, wireless sensors networks have become essential in many applications such as health, military, civil life. One challenge lies behind the employment of wireless sensor networks clusters in Health institutions is that it needs to be monitored and secured. The clustering mechanisms is identifying to reduce the energy consumption required by sensor networks with hierarchical structures enhanced with network performance. The aim of this paper is to use the WSN clusters for monitoring the groups of patients that classified into clusters of diseases like; heart, sugar, kidneys or cancer. The widespread use of computers has led to increased attackers posing potential risks to WSNs. Accordingly, the need to provide a protected environment has emerged for significance of these clusters. Therefore, we used encryption as a powerful, reliable technique for the cluster. This study deals with three types of encryption algorithms which are Caesar cipher, RC4 and AES. Then, using the brute force to break the three codes of the algorithms, it was concluded that it needs unlimited time to break the code which indicates the strength of encryption. Finally, this application aiming at monitoring and securing the cluster in the Health institutions is feasible and flexible and facile to use.