Abstract

With the revolution in Internet and digital technology, every organization is adopting digital things to carry out their day-to-day activities. Internet of Things (IoT) is a concept that is used to connect various devices over the Internet to increase the production and quality of service, deliver a huge amount of data in seconds, and automate the processes. IoT implementation in the health sector has changed the typical setup into smart and intelligent setup. With the “smart” and “Intelligent” abilities of IoT devices such as sensors and with the collaboration of humans and computers, physical processes can be monitored and, based on the received data, optimal decisions can ultimately be taken. IoT applications in healthcare will increase flexibility, patient’s care, quality of health, and control of diseases. As the IoT combines various heterogeneous devices and the inappropriate determination of the degree of characteristics for Internet of healthcare (IoH) devices may affect the efficiency of services, this research is carried out with the use of decision support system and application of fuzzy analytic network process (fuzzy ANP) was used for optimal determination of the degree of characteristics for IoH devices based on unique properties which would greatly increase the efficiency of industry. The experimental results are efficient and show the usefulness of the approach.

Highlights

  • Related WorkResearchers are trying to come across approaches, tools, and solutions for effective IoT in industry

  • IoT solutions lead to the formation of innovative and efficient innovations in today’s manufacturing environments, with the aim of increasing operational efficiency in growing fast responding factories [8]

  • Scientific Programming manufacturing systems allow all devices to communicate via the Internet of ings (IIoT)

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Summary

Related Work

Researchers are trying to come across approaches, tools, and solutions for effective IoT in industry. Intelligent production is enabled by cyber-physical systems, cloud computing, big data analytics, and information and communications technology (ICT) [6]. E rapid hardware proliferation of a complicated smart sensor communication system was accomplished using a high-level system design. For a smart grid sensor and an intelligent gateway module, high-level synthesis rules were used to generate VHSIC hardware description language- (VHDL-) target efficient hardware. E security of the IoT layered architecture, as well as the standards used for communication, networking, and maintenance, was investigated. Comparative Link-Level Analysis and Performance Estimation of Channel Models for IIoT (Industrial-IoT) Wireless Communications [4]. Intelligent Equipment Design Assisted by Cognitive Internet of ings and Industrial Big Data. Industrial Internet of ings Based Ransomware Detection Using Stacked Variational Neural Network

A Fog Computing Based Approach to DDoS Mitigation in IIoT Systems
A Microservice Architecture for the Industrial Internet-Of- ings
Conclusions
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