scholarly journals A Smart Health Care Applications and Benefits using IoT

2019 ◽  
Vol 8 (3) ◽  
pp. 7120-7123

Internet of Things (IoT) is the developing paradigm, where a vast number of smart object and smart devices associated with the internet for communication. The fast development of the IoT technology makes it feasible for connecting different smart items collectively through the Internet and giving higher and more data interoperability strategies for significant utilize and other application reason. IoT devices are utilized in numerous fields which make the client's daily life all the more simple and agreeable. Patient Physiological data observing is significant in any hospital, this system proposed healthcare applications and benefits dependent on IoT, software, and hardware, this system can indicate temperature heart rate with precision and notice and passion state of a patient..

Author(s):  
Tanweer Alam

In next-generation computing, the role of cloud, internet and smart devices will be capacious. Nowadays we all are familiar with the word smart. This word is used a number of times in our daily life. The Internet of Things (IoT) will produce remarkable different kinds of information from different resources. It can store big data in the cloud. The fog computing acts as an interface between cloud and IoT. The extension of fog in this framework works on physical things under IoT. The IoT devices are called fog nodes, they can have accessed anywhere within the range of the network. The blockchain is a novel approach to record the transactions in a sequence securely. Developing a new blockchains based middleware framework in the architecture of the Internet of Things is one of the critical issues of wireless networking where resolving such an issue would result in constant growth in the use and popularity of IoT. The proposed research creates a framework for providing the middleware framework in the internet of smart devices network for the internet of things using blockchains technology. Our main contribution links a new study that integrates blockchains to the Internet of things and provides communication security to the internet of smart devices.


Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 407 ◽  
Author(s):  
Omar A. Saraereh ◽  
Amer Alsaraira ◽  
Imran Khan ◽  
Bong Jun Choi

The Internet-of-things (IoT) has been gradually paving the way for the pervasive connectivity of wireless networks. Due to the ability to connect a number of devices to the Internet, many applications of IoT networks have recently been proposed. Though these applications range from industrial automation to smart homes, healthcare applications are the most critical. Providing reliable connectivity among wearables and other monitoring devices is one of the major tasks of such healthcare networks. The main source of power for such low-powered IoT devices is the batteries, which have a limited lifetime and need to be replaced or recharged periodically. In order to improve their lifecycle, one of the most promising proposals is to harvest energy from the ambient resources in the environment. For this purpose, we designed an energy harvesting protocol that harvests energy from two ambient energy sources, namely radio frequency (RF) at 2.4 GHz and thermal energy. A rectenna is used to harvest RF energy, while the thermoelectric generator (TEG) is employed to harvest human thermal energy. To verify the proposed design, extensive simulations are performed in Green Castalia, which is a framework that is used with the Castalia simulator in OMNeT++. The results show significant improvements in terms of the harvested energy and lifecycle improvement of IoT devices.


Author(s):  
Martin Stusek ◽  
Pavel Masek ◽  
Krystof Zeman ◽  
Dominik Kovac ◽  
Petr Cika ◽  
...  

The aggressive expansion of emerging smart devices connected to the Internet infrastructure is nowadays considered as one of the most challenging components of the Internet of Things (IoT) vision. As a particular segment of IoT, the smart home gateways, also named Machine-Type Communication Gateway (MTCG), become an important direction for industry including telecommunication operators. In most cases, the MTCG acts as a bridge between connected smart objects and the public network (Internet). As a consequence of the IoT domain expansion, the separate configuration of each individual Machine-to-Machine (M2M) device is not feasible anymore due to steadily growing numbers of M2M nodes. To perform this task, several novel technologies have recently been introduced. However, legacy protocols and mechanisms for remote network management still retain a certain application potential for IoT. Accordingly, we have investigated the protocol TR-069 with a particular focus on its usability for MTCG. To this end, the software module (bundle) based on the TR-069 for remote configuration and management of MTCG, as well as for controlling the end smart devices, has been developed. We believe that our implementation (available as open source on GitHub) can serve as an important building block for efficient management of future IoT devices. Therefore, TR-069 protocol constitutes a proven and standardized technology and could be easily deployed by most of the network and service providers today. Authors would like to recall that this paper represents extended version of their previously published work at TSP 2016 conference.


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.


Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1492 ◽  
Author(s):  
Pantaleone Nespoli ◽  
David Useche Pelaez ◽  
Daniel Díaz López ◽  
Félix Gómez Mármol

The Internet of Things (IoT) became established during the last decade as an emerging technology with considerable potentialities and applicability. Its paradigm of everything connected together penetrated the real world, with smart devices located in several daily appliances. Such intelligent objects are able to communicate autonomously through already existing network infrastructures, thus generating a more concrete integration between real world and computer-based systems. On the downside, the great benefit carried by the IoT paradigm in our life brings simultaneously severe security issues, since the information exchanged among the objects frequently remains unprotected from malicious attackers. The paper at hand proposes COSMOS (Collaborative, Seamless and Adaptive Sentinel for the Internet of Things), a novel sentinel to protect smart environments from cyber threats. Our sentinel shields the IoT devices using multiple defensive rings, resulting in a more accurate and robust protection. Additionally, we discuss the current deployment of the sentinel on a commodity device (i.e., Raspberry Pi). Exhaustive experiments are conducted on the sentinel, demonstrating that it performs meticulously even in heavily stressing conditions. Each defensive layer is tested, reaching a remarkable performance, thus proving the applicability of COSMOS in a distributed and dynamic scenario such as IoT. With the aim of easing the enjoyment of the proposed sentinel, we further developed a friendly and ease-to-use COSMOS App, so that end-users can manage sentinel(s) directly using their own devices (e.g., smartphone).


Author(s):  
Shashwat Pathak ◽  
Shreyans Pathak

The recent decade has seen considerable changes in the way the technology interacts with human lives and almost all the aspects of life be it personal or professional has been touched by technology. Many smart devices have also started playing a vital role in many fields and domains and the internet of things (IoT) has been the harbinger of the advent of IoT devices. IoT devices have proven to be monumental in imparting ‘smartness' in the otherwise static machines. The ability of the devices to interact and transfer the data to the internet and ultimately to the end-user has revolutionized the technological world and has brought many seemingly disparate fields in the technological purview. Out of the many fields where IoT has started gaining momentum, one of the most important ones is the healthcare sector. Many wearable smart devices have been developed over time capable to transmit real-time data to hospitals and doctors. It is essential for tracking the progress of the critically ill patients and has opened the horizon for attending patients remotely using these smart devices.


Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 361
Author(s):  
Jaeseung Lee ◽  
Jungho Kang ◽  
Moon-seog Jun ◽  
Jaekyung Han

The rapid development of Internet technology and the spread of various smart devices have enabled the creation of a convenient environment used by people all around the world. It has become increasingly popular, with the technology known as the Internet of Things (IoT). However, both the development and proliferation of IoT technology have caused various problems such as personal information leakage and privacy violations due to attacks by hackers. Furthermore, countless devices are connected to the network in the sense that all things are connected to the Internet, and network attacks that have thus far been exploited in the existing PC environment are now also occurring frequently in the IoT environment. In fact, there have been many security incidents such as DDoS attacks involving the hacking of IP cameras, which are typical IoT devices, leakages of personal information and the monitoring of numerous persons without their consent. While attacks in the existing Internet environment were PC-based, we have confirmed that various smart devices used in the IoT environment—such as IP cameras and tablets—can be utilized and exploited for attacks on the network. Even though it is necessary to apply security solutions to IoT devices in order to prevent potential problems in the IoT environment, it is difficult to install and execute security solutions due to the inherent features of small devices with limited memory space and computational power in this aforementioned IoT environment, and it is also difficult to protect certificates and encryption keys due to easy physical access. Accordingly, this paper examines potential security threats in the IoT environment and proposes a security design and the development of an intelligent security framework designed to prevent them. The results of the performance evaluation of this study confirm that the proposed protocol is able to cope with various security threats in the network. Furthermore, from the perspective of energy efficiency, it was also possible to confirm that the proposed protocol is superior to other cryptographic protocols. Thus, it is expected to be effective if applied to the IoT environment.


2021 ◽  
Author(s):  
Mehdia Ajana El Khaddar

The Internet of Things (IoT), along with its wider variants including numerous technologies, things, and people: the Internet of Everything (IoE) and the Internet of Nano Things (IoNT), are considered as part of the Internet of the future and ubiquitous computing allowing the communication among billions of smart devices and objects, and have recently drawn a very significant research attention. In these approaches, there are varieties of heterogeneous devices empowered by new capabilities and interacting with each other to achieve specific applications in different domains. A middleware layer is therefore required to abstract the physical layer details of the smart IoT devices and ease the complex and challenging task of developing multiple backend applications. In this chapter, an overview of IoT technologies, architecture, and main applications is given first and then followed by a comprehensive survey on the most recently used and proposed middleware solutions designed for IoT networks. In addition, open issues in IoT middleware design and future works in the field of middleware development are highlighted.


2021 ◽  
Vol 23 (09) ◽  
pp. 112-125
Author(s):  
Shagun Arora ◽  
◽  
Gurvinder Singh ◽  

The Internet of Things (IoT) is a network of physical devices, software, and hardware that communicate with one another. As the population ages, healthcare resources become scarce, and medical expenses rise, IoT-based solutions must be adapted to meet these issues in healthcare. To enhance the monitoring efficiency of the IoT-based healthcare system, several studies have been conducted. In this paper, the architecture utilized in the IoT, particularly cloud-integrated systems and security in IoT devices is explored. Factors like accuracy and power consumption are major concerns in the Internet of Things, therefore research projects aimed at enhancing the performance of IoT-based healthcare systems are highlighted. In this work, data management strategies in an IoT-based healthcare system with cloud capabilities are thoroughly examined. The performance of the IoT-based healthcare system is examined, as well as its benefits and drawbacks. Moreover, a comparative analysis is also done on some existing technologies that are utilized in healthcare. It has been observed from past studies that IoT protocol such as 6LoWPAN is mostly utilized in the domain of health care. The majority of research studies are effective in detecting many symptoms and accurately predicting illnesses. The IoT-based healthcare system built specifically for the elderly is an effective way to keep track of their medical concerns. High power consumption, a scarcity of resources, and security concerns major drawbacks of current systems are included in the proposed study.


Author(s):  
Ivan Izonin

Nowadays, the fast development of hardware for IoT-based systems creates appropriate conditions for the development of services for different application areas. As we know, the large number of multifunctional devices, which are connected to the Internet is constantly increasing. Today, most of the IoT devices just only collect and transmit data. The huge amount of data produced by these devices requires efficient and fast approaches to its analysis. This task can be solved by combining Artificial Intelligence and IoT tools. Essentially, AI accelerators can be used as a universal sensor in IoT systems, that is, we can create Artificial Intelligence of Things (AIoT). AIoT can be considered like a movement from data collection to knowledge aggregation. AIoT-based systems are being widely implemented in many high-tech industrial and infrastructure systems. Such systems are capable of providing not only the ability to collect but also analyse various aspects of data for identification, planning, diagnostics, evaluation, monitoring, optimization, etc., at the lower level in the entire system's hierarchy. That is, they are able to work more efficiently and effectively by generating the knowledge that is needed for real-time analytics and decision-making in some application areas.


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