A Secured Patients Monitoring System Using Sensor Nodes in Health Care Institutions

Abstract

Telemedicine is one of the hot research topics which provides health-care solutions to remote areas. There are various situations, where telemedicine plays a vital role. Nowadays psychiatrist use cloud computing to come across their patients from remote places, which makes their job easier. This is called tell the psychiatrist. As the patients maintaining many numbers of queues, the urgent patients have to wait in the same queue with normal patients, and they wait for their respective time. This situation is undesirable. Then the collection of real-time monitoring of patients vital data becomes a tedious job. A model is proposed in our paper where a single doctor is taken into consideration. A micro-controller model is being used here which consists of various smart sensors inside it. The smart sensors are kept intact with the patient’s body. A support staff (named as ward boy) attaches the particular smart sensors to the particular patient’s body. Then the sensors start recording the patient’s vital data and they send it to the central database system. The model is strictly concerned about the minimization of the traffic intensity and the maximization of the throughput. As the proposed model works on WSN environment possibility of various attacks increases. One of the most important attack is considered, Black hole attack. To make our Model robust, a security algorithm is added in this model, which eradicates the complications from the sensors. The salient features of the security algorithm are also described.