The development of Wireless-Body-Sensor-Networks (WBSNs) has sparked hope in the fight beside an aging population, persistent infections, and a dearth of medical-facilities. Physiological parameters like Oxygen-saturation (SpO2), Electrocardiogram (ECG), Electromyography (EMG), Electroencephalogram (EEG), Blood-pressure, Respiration-rate, Temperature, and Pulse-rate are constantly monitored by WBSNs using a wide range of implantable and wearable biosensor nodes. A doctor can make a quick and accurate diagnosis from a distance thanks to the transmission of vital signs over a public network. While transmitting data across wireless conduit from biosensor nodes to a Medical-Server (MS) via a Base-Station (BS) for competent medicinal diagnosis, patient confidentiality and privacy are paramount concerns. Due to the restricted nature of WBSNs, it is extremely difficult to find an appropriate security solution for patients who rely on WBSNs to observe their health status. To address these issues, this study proposes a smart, competent, and secures healthcare-enabled Software-Defined-WBSNs design that incorporates SDN technology into WBSNs and is based on Schnorr-Signcryption and Hyper Elliptic-Curve-Cryptography (SSHECC). In order to administer the network in a programmable fashion, SDN technology employs an efferent separation of the control and data planes. SDN's fundamental features—its programmability, adaptability, and centralized management—make it easy-to-expand network architecture. Before proposing a lightweight SSHECC to protect perceptive patient data during broadcast on open systems, this study first designs a Software-Defined-WBSNs architecture. The proposed approach outperforms prior traditional approaches in the performance metrics studied, including compute-cost, communication-overhead, storage-cost, and energy-usage.

Sensor network, E-Health, WBSN, secure routing, privacy, access control.