Role of Internet of Things: Challenges and Opportunities

Role of Internet of Things: Challenges and Opportunities

DOI: 10.4018/979-8-3693-2639-8.ch002
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Abstract

The internet of things (IoT) has lately piqued the attention of academics and business, both of which are developing technology for the future internet. It is a collaborative and complicated subject that requires collaborative efforts from a variety of groups, including the telecommunications sector, device makers, semantic Web, informatics, and engineering, to name a few. The ability to manufacture low-cost and energy-efficient hardware for devices with communication capabilities e.g., sensors and RFID tags, the maturation of wireless sensor network technologies, and the desire to integrate the physical and cyber worlds all contribute to the IoT project. The IoT is made up of networked things and their virtual representations that may be addressed using common communication protocols.
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2. Internet Of Things

The Internet of Things (IoT) combines telecommunications and information technologies to improve medical services. Medical data may be transmitted across places through the Internet of Things to detect ailments and arrange for appropriate treatments to improve patients' health status, even in remote areas. This technology allows for long-distance delivery of healthcare services while also lowering healthcare costs by treating chronic illnesses with fewer hospital stays, shorter travel times, and shared physicians and experts. A wireless body area network (WBAN) is a sensor network linked through wearable computing devices. WBAN devices may be found both within and outside the body. It links wearable gadgets on the human body to the internet through WPAN gateway devices. Patient data may be accessible through the internet from anywhere in the world in this fashion. MQTT is an application layer protocol that connects all devices via limited devices to convey message services. When compared to other protocols, it is a lightweight protocol. It works on the basis of a publish-subscribe mechanism. Low bandwidth devices with limited process and memory resources are used. MQTT data is represented as engender dynamic. The pattern matching algorithm compares health data to a person's current data collection and allows for additional analysis. If a foreseeable sickness is discovered, contact the caregiver, and if the case is an emergency, the information may be passed to the doctor for additional treatment.

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