Optimized Embedded Healthcare Industry Model with Lightweight Computing Using Wireless Body Area Network

Table 1

Summary of the existing work with the proposed model.

Existing solutions
(a) Medical applications have been developed to improve society’s comfort by delivering real-time patient data to doctors and consultants using wireless systems.; (b) IoMT-based biosensors periodically collected health data and forward it to the remote system using body coordinators. However, their several limitations offer the main critical challenges in IoT-based environments, such as delay management, energy consumption, and security attacks.; (c) Many solutions have been proposed to overcome the problems of medical applications in forwarding health data over wireless technologies, but optimization methods are still desirable.; (d) Moreover, most solutions fail to protect e-health data from malicious examinees and threats. As a result, end-users must be trusted on obtained data from unreliable IoT networks.
Proposed optimized embedded healthcare industry model with lightweight computing using WBAN	(a) An algorithm is developed for healthcare services with the support of an optimization algorithm and mobility.; (b) It balances the contribution of nodes uniformly in terms of various factors.; (c) Efficiently explores the random communication channels with an adaptive mobility evaluation.; (d) Formulates a protected and secured option for malicious traffic detection and supports trusted IoT-based medical applications.