AN IOT-BASED REMOTELY HEALTH MONITORING SYSTEM USING LOCATION PRIVACY MECHANISM FOR WBAN MODEL

In these days the demand of remote health monitoring rapidly increases due to in involvement of Wireless Body Area Network (WBAN) that is used for heal monitoring application in real-time scenario due to its capabilities of sensing and fast communication. It is a type of Wireless Sensor Network (WSN) model that consist of various tiny sensor nodes which are power by batteries and used routing algorithms to send a data packets from one node to other via the base station. But energy efficient and secure data transmission is an important factor for any remote location based health monitoring system. So, in this research, we proposed a Remote Location-based Health Monitoring (RLHM) system using the concept of Elliptical Curve Cryptography (ECC) as an encryption method for WBAN model. An intellectual and secure transmission in ECC-based RLHM system with WBAN is based on the location privacy preservation mechanism to support the network communication. The introduced ECC based intellectual and secure transmission mechanism as a routing protocol diminish the involvement of abnormal nodes between end to end nodes in the network to increase the efficiency. At the last of paper, the comparison of proposed ECC-based RLHM system with existing work in presented in respects of Quality of Service (QoS) like verification time, key size and message size and we noticed that the time of verification is reduced by existing in the WBAN model