A Survey on the Roles of Communication Technologies in IoT-Based Personalized Healthcare Applications

Alam, Muhammad Mahtab; Malik, Hassan; Khan, Muhidul Islam; Pardy, Tamás; Kuusik, Alar; Moullec, Yannick Le

doi:10.1109/access.2018.2853148

Cited by 213 publications

(104 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Reference [58] focused on the technologies applied in the smart city, transportation and health care from physical layer to application layer. Here in my literature survey, we had also reviewed lifesaver tools where it can be applied and [59] discussed the applications that were used in healthcare and also proposed some solution. In smart parking, much work had been done and many surveys were done focusing on their advancement, methods, challenges and some issues also.…”

Section: Table-iii: Strategies Given By Countriesmentioning

confidence: 99%

State-of-the-art Prototypes and Future Propensity Stem on Internet of Things

Srivastava¹,

Mishra²

2019

IJRTE

View full text Add to dashboard Cite

We all are living in the era of the internet that too up to the next level where each and everything has been connected to the internet. IoT has become much more popular these days with the advancement of technology and connecting physical world with the virtual world making the life of individual’s and organization easier. Recently IoT becomes more popular in the research area where many research articles have been published and reviewed. Its capacity to get associated with everything whether it's human, object, innovation, things, and so forth drawn numerous chances of advancement and extension in future. The way the technology has been evolved recently in every field we see rapid changes in the products, services, things that we are using in our daily life. IoT is platform that has becoming popular due to its simplified technology which benefits the individual’s as well as organization and end-users. Today’s IoT has given many opportunities to make easier life, effective communications and stay connected to our close and society by enabling many technologies but there are some issues which are the major concern of IoT and these issues must be resolved so that IoT can be used as revolutionary technology in future. This paper focuses on state-of–the-art porotypes on IoT, basic prerequisite in the IoT, role of big data in IoT. Enabling technologies, technology used in various applications such as smart city, agriculture, health-care, lifesaving, smart parking, urban planning. We also explore the applications of IoT and its future propensity, its architecture and comparison of IoT with H2M and M2M.

show abstract

Section: Table-iii: Strategies Given By Countriesmentioning

confidence: 99%

State-of-the-art Prototypes and Future Propensity Stem on Internet of Things

Srivastava¹,

Mishra²

2019

IJRTE

View full text Add to dashboard Cite

show abstract

“…The proposed switching model can be integrated with healthcare devices for remotely operating the devices in a secure way. The communication can be secured by enforcing encryption functionality provided by the cloud service [2].…”

Section: Application Scenariosmentioning

confidence: 99%

A Novel IoT Switching Model Based on Cloud-Centric RTDBS

Farjad¹

2019

EAI Endorsed Trans IoT

View full text Add to dashboard Cite

INTRODUCTION: Over the past decade, a significant rise in the number of internet-connected devices was observed. The number of smart devices is continuously increasing. The expanding network of interconnected devices provided an impetus for rapid advancement in the domain of Internet-of-Things (IoT). IoT has recently become a centre of attraction for research community. The development of microprocessors and microcontrollers has supplemented advancement in IoT paradigm. The rapidly emerging paradigm of IoT is facing challenges which render significant impact on its performance and cost. OBJECTIVES: In this paper, a novel architecture based on Real-Time Database System (RTDBS) coupled with cloud functionalities is proposed for providing efficient and cost-effective IoT system. An efficient circuit design consisting of solid state technology has also been integrated with the proposed architecture for enhancing the feasibility of the model. METHODS: The proposed model leverages cloud-hosted RTDBS for developing IoT system. After an inspective analysis, the most appropriate RTDBS was selected. In this model, a User Interface (UI) is coupled with the selected RTDBS. The same RTDBS is connected with ESP8266 which is directly attached with switching circuit based on a proposed design. The UI is also retrofitted with the functionality of recognizing speech in both English and Urdu. After speech recognition, corresponding command is sent to RTDBS and RTDBS updates the relevant instance. The modification of state generates a signal that is sent to ESP8266, and ESP8266 triggers the switching circuit according the signal received from RTDBS. RESULTS: The proposed IoT system was implemented and tested for continuous switching transactions and it purported to be highly tolerant against the threat of malfunctioning which arises due to continuous switching operations. The implemented IoT system was subjected to voice commands both in English and Urdu, and it exhibited the quick responses. CONCLUSION: The results obtained from the scrutiny of implementation endorse the efficiency of proposed model.

show abstract

“…Handheld devices, such as smartphones and fitness bands, can act as on-body coordinators for personalized health monitoring because they are equipped with a variety of sensors, such as heart rate measurement sensor, blood glucose and pressure sensors, temperature sensors, humidity measurement sensors, accelerometers, magnetometers, and gyroscope ( Fig. 1) [5]. There exist several built-in applications in such handheld smartphones, such as S-Health, to keep track of daily body fitness.…”

Section: Introductionmentioning

confidence: 99%

“…There exist several built-in applications in such handheld smartphones, such as S-Health, to keep track of daily body fitness. However, there are always concerns regarding data privacy and security, reliability, and trustworthiness in the extensive usage of wearable smart devices [5].…”

Section: Introductionmentioning

confidence: 99%

Q-learning-enabled channel access in next-generation dense wireless networks for IoT-based eHealth systems

Ali

Qadri

Zikria

et al. 2019

J Wireless Com Network

View full text Add to dashboard Cite

One of the key applications for the Internet of Things (IoT) is the eHealth service that targets sustaining patient health information in digital environments, such as the Internet cloud with the help of advanced communication technologies. In eHealth systems, wireless networks, such as wireless local area networks (WLAN), wireless body sensor networks (WBSN), and wireless medical sensor networks (WMSNs), are prominent technologies for early diagnosis and effective cures. The next generation of these wireless networks for IoT-based eHealth services is expected to confront densely deployed sensor environments and radically new applications. To satisfy the diverse requirements of such dense IoT-based eHealth systems, WLANs will have to face the challenge of assisting medium access control (MAC) layer channel access in intelligent adaptive learning and decision-making. Machine learning (ML) offers services as a promising machine intelligence tool for wireless-enabled IoT devices. It is anticipated that upcoming IoT-based eHealth systems will independently access the most desired channel resources with the assistance of sophisticated wireless channel condition inference. Therefore, in this study, we briefly review the fundamental models of ML and discuss their employment in the persuasive applications of IoT-based systems. Furthermore, we propose Q-learning (QL) that is one of the reinforcement learning (RL) paradigms as the future ML paradigm for MAC layer channel access in next-generation dense WLANs for IoT-based eHealth systems. Our goal is to contribute to refining the motivation, problem formulation, and methodology of powerful ML algorithms for MAC layer channel access in the framework of future dense WLANs. This paper also presents a case study of next-generation WLAN IEEE 802.11ax that utilizes the QL algorithm for intelligent MAC layer channel access. The proposed QL-based algorithm optimizes the performance of WLAN, especially for densely deployed devices environment.

show abstract

A Survey on the Roles of Communication Technologies in IoT-Based Personalized Healthcare Applications

Cited by 213 publications

References 61 publications

State-of-the-art Prototypes and Future Propensity Stem on Internet of Things

State-of-the-art Prototypes and Future Propensity Stem on Internet of Things

A Novel IoT Switching Model Based on Cloud-Centric RTDBS

Q-learning-enabled channel access in next-generation dense wireless networks for IoT-based eHealth systems

Contact Info

Product

Resources

About