scholarly journals A Comprehensive Survey of the Internet of Things (IoT) and AI-Based Smart Healthcare

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 3660-3678
Author(s):  
Fatima Alshehri ◽  
Ghulam Muhammad
2019 ◽  
Vol 21 (2) ◽  
pp. 1676-1717 ◽  
Author(s):  
Muhammad Salek Ali ◽  
Massimo Vecchio ◽  
Miguel Pincheira ◽  
Koustabh Dolui ◽  
Fabio Antonelli ◽  
...  

2019 ◽  
Vol 7 (2) ◽  
pp. 21-40 ◽  
Author(s):  
Parthasarathy Panchatcharam ◽  
Vivekanandan S.

Wellbeing is fundament requirement. What's more, it is human appropriate to get quality health care. These days, India is confronting numerous medical problems in light of fewer assets. This survey article displays the idea of solving health issues by utilizing a recent innovation, the Internet of Things (IOT). The Internet of Things with their developing interdisciplinary applications has changed our lives. Smart health care being one such IoT application interfaces brilliant gadgets, machines, patients, specialists, and sensors to the web. At long last, the difficulties and prospects of the improvement of IoT-based medicinal service frameworks are talked about in detail. This review additionally summarizes the security and protection worries of IoT, administrations and application of IoT and smart healthcare services that have changed the customary medicinal services framework by making healthcare administration more proficient through their applications.


Author(s):  
Lokesh B Bhajantri ◽  
Gangadharaiah S.

Efficient resource management is a challenging task in distributed systems, such as the Internet of Things, fog, edge, and cloud computing. In this work, we present a broad overview of the Internet of Things ecosystem and of the challenges related to managing its resources. We also investigate the need for efficient resource management and the guidelines given/suggested by Standard Development Organizations. Additionally, this paper contains a comprehensive survey of the individual phases of resource management processes, focusing on resource modeling, resource discovery, resource estimation, and resource allocation approaches based on performance parameters or metrics, as well as on architecture types. This paper presents also the architecture of a generic resource management enabler. Furthermore, we present open issues concerning resource management, pointing out the directions of future research related to the Internet of Things.


Author(s):  
Meriem Aziez ◽  
Saber Benharzallah ◽  
Hammadi Bennoui

Abstract—The Internet of Things (IOT) has gained a significant attention in the last years. It covers multiple domains and applications such as smart home, smart healthcare, IT transportation...etc. the highly dynamic nature of the IOT environment brings to the service discovery new challenges and requirements. As a result, discovering the desirable services has become very challenging. In this paper, we aim to address the IoT service discovery problem and investigate the existing solutions to tackle this problem in many aspects, therefore we present a full comparative analysis of the most representative (or outstanding) service discovery approaches in the literature over four perspectives: (1) the IoT service description model, (2) the mechanism of IoT service discovery, (3) the adopted architecture and (4) the context awareness.


2021 ◽  
Author(s):  
Sanjoy Mondal ◽  
Indrakshi Ghosh ◽  
Sayak Ghosh ◽  
Ayushi Gupta ◽  
Dipankar Basu

Author(s):  
H. El Fadili ◽  
T. Mazri

Abstract. The Internet of Things (IoT) has frequently been used by people as a way to facilitate their connection to all types of devices. Thanks to this technology, healthcare field can also benefit from a perfect interaction taking advantage of a better diagnostic and treatment that facilitate life for both patients and doctors. Unfortunately, and similarly to other domains based on technology, the smart healthcare does also use IT programs and wireless network to exchange and analyse data the fact that makes it highly exposed to malicious actions. Moreover, if a good security level is not provided in order to save patients information once hackers get access to the mentioned data, patients might be affected or even lose their lives. This paper presents an overview of the security issues in smart healthcare fields and gives a state of art of some well-known network attacks in the field of smart healthcare. We also propose an impact evaluation of those attacks by adopting four scales of evaluation ‘Minor’, ‘Significant’, ‘Serious’ and ‘Critical’ proposed by EBIOS Gravity assessment. The proposed evaluation is classified based on three criteria: sensor’s nature, application field and intervention time.


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.


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