Internet of Things-Empowered Next-Generation Healthcare Systems

2022 ◽  
pp. 201-218
Author(s):  
J. Manga ◽  
V. J. K. Kishor Sonti

Internet of things is seen in many fields like civil engineering, consumer goods, oil and gas fields, smart cities, agriculture, etc. Apart from these, it is applicable to the medical field to detect and treat many kinds of diseases and can find the different health parameters quickly. It became important in the health sector to mitigate the challenges of health problems. Internet of things (IoT) is an amalgamation of pervasive computing, intelligent processing, and real-time response systems. Mechanics, devices, sensors make this machine-to-machine communication a feasible solution to dynamic requirements of tech-aspiring world. This chapter highlights the possibilities of further empowerment of healthcare systems using IoT or in other words IoMT (internet of medical things). Nanotechnology-driven IoT development or internet of nano things (IoNT) has become an added advantage in healthcare applications. So, IoNT with IoMT is another exciting research prospect of the near future. This chapter introduces a technique used in healthcare applications, PUF (physical unclonable function), and it is technique for solving many problems related to privacy and security. Security of data transmission, issues pertinent to reliability, and inter-operability are inherently affecting the progress of IoT-based healthcare systems. This chapter of focuses upon these issues and feasible solutions viewed from the dimension of technology-driven healthcare costs in the modern world and economic implications. The treatment used in this chapter will be more interesting for the casual readers. The analysis of IoMT implications in the near future will be helpful to the ardent learners. The research dimensions of IoT-empowered healthcare systems will add value to the thought process of young researchers.

2020 ◽  
Vol 43 (338) ◽  
pp. 27-34
Author(s):  
Lasma Licite-Kurbe ◽  
Athul Chandramohan

AbstractThe Internet of Things (IoT) is a computing concept that describes the idea of everyday physical objects being connected to the Internet and being able to identify themselves to other devices, and day by day it becomes popular in everyday life as well as in entrepreneurship. The IoT covers broad areas, including manufacturing, the health sector, agriculture, smart cities, security and emergencies among many others. The market for the industrial IoT is estimated to surpass 107 billion euros by 2021 and reach a compound annual growth rate of 7.3% as of 2020. The IoT makes an impact on all industries and provides benefits for various areas of business; however, business may be faced with some risks as well. The research aim is to analyse the benefits and risks of the IoT in entrepreneurship. The descriptive method, analysis and synthesis, the induction and deduction methods were used to achieve the aim. The research has revealed that the IoT can provide several opportunities for business in all fields of operations – marketing, logistics, accounting and human resource management. However, businesses may be faced with some challenges related to privacy and security, processing, analysis and management of data, as well as monitoring and sensing.


2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Pranav Ratta ◽  
Amanpreet Kaur ◽  
Sparsh Sharma ◽  
Mohammad Shabaz ◽  
Gaurav Dhiman

Internet of Things (IoT) is one of the recent innovations in Information Technology, which intends to interconnect the physical and digital worlds. It introduces a vision of smartness by enabling communication between objects and humans through the Internet. IoT has diverse applications in almost all sectors like Smart Health, Smart Transportation, and Smart Cities, etc. In healthcare applications, IoT eases communication between doctors and patients as the latter can be diagnosed remotely in emergency scenarios through body sensor networks and wearable sensors. However, using IoT in healthcare systems can lead to violation of the privacy of patients. Thus, security should be taken into consideration. Blockchain is one of the trending research topics nowadays and can be applied to the majority of IoT scenarios. Few major reasons for using the Blockchain in healthcare systems are its prominent features, i.e., Decentralization, Immutability, Security and Privacy, and Transparency. This paper’s main objective was to enhance the functionality of healthcare systems using emerging and innovative computer technologies like IoT and Blockchain. So, initially, a brief introduction to the basic concepts of IoT and Blockchain is provided. After this, the applicability of IoT and Blockchain in the medical sector is explored in three major areas—drug traceability, remote patient-monitoring, and medical record management. At last, the challenges of deploying IoT and Blockchain in healthcare systems are discussed.


Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3619 ◽  
Author(s):  
Gordana Gardašević ◽  
Konstantinos Katzis ◽  
Dragana Bajić ◽  
Lazar Berbakov

Future smart healthcare systems—often referred to as Internet of Medical Things (IoMT) – will combine a plethora of wireless devices and applications that use wireless communication technologies to enable the exchange of healthcare data. Smart healthcare requires sufficient bandwidth, reliable and secure communication links, energy-efficient operations, and Quality of Service (QoS) support. The integration of Internet of Things (IoT) solutions into healthcare systems can significantly increase intelligence, flexibility, and interoperability. This work provides an extensive survey on emerging IoT communication standards and technologies suitable for smart healthcare applications. A particular emphasis has been given to low-power wireless technologies as a key enabler for energy-efficient IoT-based healthcare systems. Major challenges in privacy and security are also discussed. A particular attention is devoted to crowdsourcing/crowdsensing, envisaged as tools for the rapid collection of massive quantities of medical data. Finally, open research challenges and future perspectives of IoMT are presented.


Author(s):  
Mirjana Maksimović

Nowhere do the technology advancements bring improvements than in the healthcare sector, constantly creating new healthcare applications and systems which completely revolutionize the healthcare domain. The appearance of Internet of Things (IoT) based healthcare systems has immensely improved quality and delivery of care, and significantly reduced the costs. At the same time, these systems generate the enormous amount of health-associated data which has to be properly gathered, analyzed and shared. The smart devices, as the components of IoT-driven healthcare systems, are not able to deal with IoT-produced data, neither data posting to the Cloud is the appropriate solution. To overcome smart devices’ and Cloud’s limitations the new paradigm, known as Fog computing, has appeared, where an additional layer processes the data and sends the results to the Cloud. Despite numerous benefits Fog computing brings into IoT-based environments, the privacy and security issues remain the main challenge for its implementation. The reasons for integrating the IoT-based healthcare system and Fog computing, benefits and challenges, as well as the proposition of simple low-cost system are presented in this paper.


Author(s):  
Selvaraj Kesavan ◽  
Senthilkumar J. ◽  
Suresh Y. ◽  
Mohanraj V.

In establishing a healthy environment for connectivity devices, it is essential to ensure that privacy and security of connectivity devices are well protected. The modern world lives on data, information, and connectivity. Various kinds of sensors and edge devices stream large volumes of data to the cloud platform for storing, processing, and deriving insights. An internet of things (IoT) system poses certain difficulties in discretely identifying, remotely configuring, and controlling the devices, and in the safe transmission of data. Mutual authentication of devices and networks is crucial to initiate secure communication. It is important to keep the data in a secure manner during transmission and in store. Remotely operated devices help to monitor, control, and manage the IoT system efficiently. This chapter presents a review of the approaches and methodologies employed for certificate provisioning, device onboarding, monitoring, managing, and configuring of IoT systems. It also examines the real time challenges and limitations in and future scope for IoT systems.


Author(s):  
Wissam Abbass ◽  
Amine Baina ◽  
Mostafa Bellafkih

The rapid growth of the world's population is placing a huge strain on the existing infrastructures. As a quest for accommodating this growth, interest is turned to the internet of things (IoT). In fact, the IoT is significantly improving today's quality of life by innovating the provided services and enhancing communication and interaction. Furthermore, it has also empowered real-time decision making by introducing dynamic services for innovative traffic handling, energy-efficient infrastructure saving, and public safety ensuring. However, IoT applications for smart cities is still a major issue as it lacks assuring privacy and security within provided services. In this chapter, the authors pinpoint IoT's security risk assessment challenges and examine its critical influence on smart cities. Additionally, they highlight the key aspects characterizing a smart city which also represent the critical assets requiring security risk assessment. Moreover, they discuss the resulting issues and their related countermeasures.


2020 ◽  
Vol 8 (6) ◽  
pp. 3892-3895

Internet of Things network today naturally is one of the huge quantities of devices from sensors linked through the communication framework to give value added service to the society and mankind. That allows equipment to be connected at anytime with anything rather using network and service. By 2020 there will be 50 to 100 billion devices connected to Internet and will generate heavy data that is to be analyzed for knowledge mining is a forecast. The data collected from individual devices of IoT is not going to give sufficient information to perform any type of analysis like disaster management, sentiment analysis, and smart cities and on surveillance. Privacy and Security related research increasing from last few years. IoT generated data is very huge, and the existing mechanisms like k- anonymity, l-diversity and differential privacy were not able to address these personal privacy issues because the Internet of Things Era is more vulnerable than the Internet Era [10][20]. To solve the personal privacy related problems researchers and IT professionals have to pay more attention to derive policies and to address the key issues of personal privacy preservation, so the utility and trade off will be increased to the Internet of Things applications. Personal Privacy Preserving Data Publication (PPPDP) is the area where the problems are identified and fixed in this IoT Era to ensure better personal privacy.


Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2466 ◽  
Author(s):  
Maryam Naseer Malik ◽  
Muhammad Awais Azam ◽  
Muhammad Ehatisham-Ul-Haq ◽  
Waleed Ejaz ◽  
Asra Khalid

The Internet of Things is a rapidly growing paradigm for smart cities that provides a way of communication, identification, and sensing capabilities among physically distributed devices. With the evolution of the Internet of Things (IoTs), user dependence on smart systems and services, such as smart appliances, smartphone, security, and healthcare applications, has been increased. This demands secure authentication mechanisms to preserve the users’ privacy when interacting with smart devices. This paper proposes a heterogeneous framework “ADLAuth” for passive and implicit authentication of the user using either a smartphone’s built-in sensor or wearable sensors by analyzing the physical activity patterns of the users. Multiclass machine learning algorithms are applied to users’ identity verification. Analyses are performed on three different datasets of heterogeneous sensors for a diverse number of activities. A series of experiments have been performed to test the effectiveness of the proposed framework. The results demonstrate the better performance of the proposed scheme compared to existing work for user authentication.


Author(s):  
Seema Ansari ◽  
Tahniyat Aslam ◽  
Javier Poncela ◽  
Pablo Otero ◽  
Adeel Ansari

The demand for global healthcare systems for human health improvement is ever growing. Internet of things (IoT) has influenced every industry in the market. IoT-based healthcare monitoring systems have emerged using smart gateways between sensor networks and the internet. This chapter aims at focusing on the impact of IoT on healthcare and explores the difference that IoT has made in the recent years. IoT applications in healthcare have helped people keep track of their medical requirements such as reminding them of appointments, keeping a check on calorie count, variations in blood pressure, a check on exercises, and many more. In this chapter, studies of IoT-based healthcare applications are presented. The chapter begins with the introduction and history of IoT in healthcare, sharing state of the art, architecture, applications of IoT in healthcare, advantages, future concerns and challenges, and future of IoT in healthcare, followed by conclusion.


2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Liming Chen ◽  
Xiaoyun Kuang ◽  
Fusheng Zhu ◽  
Lijia Lai ◽  
David Fan

In this paper, we provide a comprehensive survey for the artificial intelligence and spectrum management, which are used for cache-enabled Internet of Things (IoT) in smart cities. In smart cities, there emerge a lot of new applications such as data collection and communication, environment monitoring, and real-time processing, which cannot be supported by the conventional wireless transmission techniques. Hence, some new wireless transmission techniques should be developed to support the emerging applications in smart cities. In this survey, we focus on the artificial intelligence, spectrum management, and caching techniques, where the interference arises due to the limited spectrum resources. In particular, we first review the current research status of these new techniques and, then, give some challenges on the system design. We further provide several feasible solutions on these challenges, in order to implement the IoT networks in smart cities. Finally, we conclude the work in the part of conclusions and give some discussions on the future works.


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