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Owing to ignorance of self health status and lack of regular check-ups, a large number of persons suddenly die in our society. Immediate physical presence of the injured or affected person at a health center for emergency service is also difficult at times. Through advancement in communication and information technologies, Internet of Things (IoT) uses a collection of applications to bring the passive mode healthcare system to the next level for providing real-time qualitative patient care. It incorporates several body sensors to trigger the service to a patient based on his/her current health status. The performances of these tiny sensors are bottlenecked with their limited energy and less computing capability. These constraints present a challenging situation for continuous monitoring of a person. We propose a RELiable Authentication System (RELAS) in which the entire process is divided into four different modes and each mode can have different subtasks and they are capable of executing their tasks either locally or in a server. The process supports both sequential as well as parallel way of execution, which includes periodic collection of physical parameters, environment details of the patient and stores the data in a server for forecasting. RELAS considers all the constraints during the execution period to reduce the battery consumption so as to maintain uninterrupted monitoring of a person. It is observed that the proposed model ensures less consumption of battery power, reduced time complexity and can handle large data size. [ABSTRACT FROM AUTHOR]