Abstract
The development and technological advancement of wireless sensor networks in different fields has been a revolution for mankind. To meet the high-end requirements, the support of the cloud that provides the resources for the application is very much essential. This paper presents an architecture called cloud sense to connect cyber and physical spaces for wireless body area networks with varying high-end workflow at different perspectives. The scalability issue in collecting patient data and processing the data is established using ganglia that is a scalable, distributed monitoring system to support high-performance computing in clusters for the set of input events such as electrocardiogram (ECG), blood pressure (BP), saturation of peripheral oxygen (SPO2), temperature, and skin conductance of the kind of human body parameters. Various parameter metrics have been analyzed based on the equivalent creation of instances. The connectivity mechanism behind the proposed cyber-physical system is unique of its kind; it is exhibited through wireless Internet on a small scale of three remote locations; the system works well with specific network parameter metrics; and the results proved that availability and scalability issues were addressed with numerical analysis.
Highlights
A cyber-physical system (CPS) is required to interconnect the physical devices in the hospital for healthcare monitoring and to analyze the data stored in the cloud
Cyberspace consists of the data where it can be transferred to the doctors and the researchers to analyze and make decisions for further need. e CPS that is proposed using the smart health application was operational under the following categories: (1) patient-centric, (2) network-centric, (3) hardware-centric, and (4) data-centric
CPS will function as an intelligent monitoring platform for timely diagnostic decisions in the critical care unit of hospitals and home care patients. is research lies in blending recent cutting-edge technologies that are wireless body area network (WBAN), internet of things (IoT), and streaming big data analytics to handle an enormous amount of data. e concept of fog computing has been introduced to save energy and time to provide timely and Security and Communication Networks needy services at the doorstep of the patient
Summary
A cyber-physical system (CPS) is required to interconnect the physical devices in the hospital for healthcare monitoring and to analyze the data stored in the cloud. Data analytics is possible in the terminals themselves, which again improves adeptness in the proper functioning of the system with localized decision-making, the geographical distribution of data within less time, and optimized usage of resources. E proposed system will reduce latency, improve operational efficiency, and will provide effective service to save human life using built-in decision-making policies by the introduction of fog controllers, which are used for effective data dissemination locally with reduced time complexity. E research tries to interconnect the recent cutting-edge technologies that are wireless body area network, internet of things (IoT), and streaming big data analytics. Data analytics is possible in the end terminal itself, which again improves adeptness in the proper functioning of the system with localized decision-making, the geographical distribution of data in lesser time with optimized usage of resources. When a massive amount of data needs decision-making, scalability and reliability issues have been solved by the concept of availability
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