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Remote Patient Monitoring (RPM) provides flexible and powerful patient surveillance through wearable devices at anytime and anywhere. This can be achieved by using a Body Sensor Network (BSN), which is deployed on a human body for monitoring the healthcare. The mobile healthcare management with increased feasibility and handiness introduced seve ral noteworthy challenges for the provider, policy makers, patient and hospitals. A significant challe nge is to provide round-the-clock healthcare servic es to those patients who require it via wearable medical devices. In addition to this, the sensors collect t he personal medical data where the security and privac y are important components in RPM. As a result, one of the most significant and challenging concern to dea l with is how to secure the personal information of the patients and to eliminate their privacy issue. This study presents System on Programmable Chip (SoPC) implementation of Remote Patient Monitoring System (RPM) with Ultra Lightweight algorithms for security issues. Humming Bird 2 (HB-2), PRESENT and HIGHT algorithms were implemented since the wearable medical devices require fewer areas to ach ieve portability. The comparison results shows that Degree of Confusion of HB-2 is 50.43 which outstand the other, the efficiency of the entire algorithm implemented in SoPC are higher comparing with conventional Field Programmable Gate Array (FPGA) implementation. The comparison was extended and in Particular, power and area consumption of HB-2 is less than PRESENT and HIGHT algorithm, which is more suitable for RPM devices.

SOPC BASED WIRELESS REMOTE PATIENT MONITORING USING ULTRA LIGHTWEIGHT CRYPTOGRAPHY