Abstract
To build prosperous smart cities, adequate infrastructure must be provided. Smart cities contain intelligent things to enhance lives and save people’s lives. The Internet of medical things (IoM) and edge computing are part of these things. Healthcare services are essential services that should benefit from the infrastructure of smart cities. Increasing the quality of services (QoS) required increased connectivity and supercomputing. Supercomputing is represented by connecting the IoM with high processing devices close to these healthcare service devices called edge processing. Healthcare application requires low network latencies; therefore, edge computing must be necessary. Edge computing enables reduced latency and energy efficiency, scalability, and bandwidth. In this study, we review the most important algorithms used in the resource allocation management process at the MEC, which are the DPSO, ACO, and basic PSO. Our experiments have proven that the DPSO is the better and appropriate algorithm used in the event of intensive process congestion that needs to be addressed at the edges of the network to reduce time, including operations related to patients’ health conditions.
Highlights
Internet of medical things (IoM) implements smart nodes that sense the data, interpret, process, and respond within a required time in a network. e capability to embed sensing devices into a natural environment enables the transformation of a smart environment
Data are sensed contextually in real-time and non-real-time through various wearable devices placed under multiple scenarios, such as soccer grounds, fitness rooms, and unrestricted areas; data sensing is the main functionality of this layer. e ubiquitous IoMEC application is connected to this layer by any healthcare data acquisition and transmission embedded device, differentiating it from existing healthcare frameworks
We studied the offloading strategies for the MEC networks and resource allocation, where some intensive computational tasks are to be computed either locally or by the nearby edge computing (EC) in the MEC
Summary
Internet of medical things (IoM) implements smart nodes that sense the data, interpret, process, and respond within a required time in a network. e capability to embed sensing devices into a natural environment enables the transformation of a smart environment. IoM is the online integration of smart nodes within a network to share information, communicate, and perform a task It is a combination of smart modules which do their work by coordinating with each other. With IoM-edge cloud computing integration, the demand for smart healthcare as a ubiquitous module that offers seamless and fast response is considerable. Erefore, a combined smart healthcare module that edge cloud computing (ECC) deals with these issues by utilizing the resources available and technologies in the environment of a smart city is essential. E healthcare industry is one of the fastest growing fields with considerable demand It is not just about providing critical services and important to patients, it brings significant revenue to the health sector. E following is an outline of the paper’s structure: Section 2 provides a literature review for the present work, an assessment of the design of smart healthcare systems
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