International Journal of Knowledge-based and Intelligent Engineering Systems 24 (2020) 83–93 83 DOI 10.3233/KES-200032 IOS Press RELAS: A reliable authentication system for patient monitoring using IoT Samaleswari Pr. Nayak a , S.C. Rai b , Sipali Pradhan c and J.K. Mantri c a Department of Computer Science and Engineering, Silicon Institute of Technology, Bhubaneswar, India b Department of IT, Silicon Institute of Technology, Bhubaneswar, India c Department of Computer Application, North Orissa University, Bhubaneswar, India Abstract. 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. Keywords: RELAS, IoT, NodeMCU, PMS, real-time 1. Introduction The growing need for self-regulating healthcare su- pervision has altered services from infirmary-centric to patient-centric, where a patient can be observed and his/her health information can also be recorded irre- spective of location, activity and time. Such type of service provisioning is constrained with bandwidth re- quirement, data size, consumption of battery and pro- cessing speed. In a report [1] of the United Nations it is predicted that by end of 2050, the population of elderly people would be around 22% of the entire world pop- ulation. It is also expected that 89% of elderly people would be living alone. According to medical survey, * Corresponding author: Samaleswari Pr. Nayak, Department of Computer Science and Engineering, Silicon Institute of Technology, Bhubaneswar, India. E-mail: samaleswari.nayak@silicon.ac.in. 80% of elderly people over the age of 65 might suf- fer at least one disease. Currently, several healthcare solutions with advanced technologies are available for elderly people [2]. Hence a lot of mechanisms are being proposed by researchers to address the problems for online as well as offline users. However, there is no significant contribution towards extension of time of monitoring the patient by extending the battery life of the sensor with increased data handling capability. The existing health monitoring approaches are based on selection of the medicine by predicting the dis- ease at an initial stage. Instead of diagnosis and cure most of the approaches are health management ori- ented [3]. In all cases the physical presence of the pa- tient, personalization-based treatment and management are observed. To overcome this difficulty, our designed model adopts a patient-centric, ubiquitous approach. Service provisioning to a person irrespective of one’s ISSN 1327-2314/20/$35.00 c  2020 – IOS Press and the authors. All rights reserved