Medical Sensors and Their Integration in Wireless Body Area Networks for Pervasive Healthcare Delivery: A Review

Javaid, Shumaila; Zeadally, Sherali; Fahim, Hamza; He, Bin

doi:10.1109/jsen.2022.3141064

Cited by 49 publications

(16 citation statements)

References 196 publications

(157 reference statements)

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“…Edge computing brings opportunities to solve these shortcomings by providing services at the network's edge to avoid data transmission to remote servers for data manipulation and decisions. Accordingly, various edge-computing-based schemes have been introduced for resource management of smart city applications [165]- [170]. For example, Chen et al in [95] introduced a hybrid model called UAV-Edge-Cloud to improve the QoS and resource provision for resource-intensive applications for smart city applications.…”

Section: Edge Computing Based Resource Managementmentioning

confidence: 99%

Communication and Control in Collaborative UAVs: Recent Advances and Future Trends

Javaid¹,

Saeed²,

Qadir³

et al. 2023

Preprint

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The recent progress in unmanned aerial vehicles (UAV) technology has significantly advanced UAV-based applications for military, civil, and commercial domains. Nevertheless, the challenges of establishing high-speed communication links, flexible control strategies, and developing efficient collaborative decision-making algorithms for a swarm of UAVs limit their autonomy, robustness, and reliability. Thus, a growing focus has been witnessed on collaborative communication to allow a swarm of UAVs to coordinate and communicate autonomously for the cooperative completion of tasks in a short time with improved efficiency and reliability. This work presents a comprehensive review of collaborative communication in a multi-UAV system. We thoroughly discuss the characteristics of intelligent UAVs and their communication and control requirements for autonomous collaboration and coordination. Moreover, we review various UAV collaboration tasks, summarize the applications of UAV swarm networks for dense urban environments and present the use case scenarios to highlight the current developments of UAV-based applications in various domains. Finally, we identify several exciting future research direction that needs attention for advancing the research in collaborative UAVs.

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Section: Edge Computing Based Resource Managementmentioning

confidence: 99%

Communication and Control in Collaborative UAVs: Recent Advances and Future Trends

Javaid¹,

Saeed²,

Qadir³

et al. 2023

Preprint

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“…The IoT layer is the first layer of the proposed HMAN architecture. The incorporation of WBANs and innovative technologies in the various layers of IoT ecosystems has many benefits, such as enhancing storage and data availability while lowering data transmission latency [7]. Therefore, this layer consists of vital signs monitoring sensors, including on body or/and in body (implants) sensors, and a smartphone (or any wearable devices).…”

Section: Proposed Healthcare Metropolitan Area Network Architecturementioning

confidence: 99%

“…Furthermore, a wide range of services can be provided through a variety of IoMT applications. Hence, massive data collected from endless IoMT sensors or devices must be processed at powerful data centres to provide additional insight to users and service providers [7].…”

Section: Introductionmentioning

confidence: 99%

Towards a cooperative hierarchical healthcare architecture using the HMAN offloading scenarios and SRT calculation algorithm

Jasim

Al-Raweshidy

2022

IET Networks

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The Internet of medical things (IoMT) is one of the most promising fields that is expected to rapidly expand in the near future. Consequently, vast amounts of data will be generated, necessitating faster and more intensive processing capabilities. Several healthcare architectures based on Edge/Fog technologies have been created to lower healthcare expenses and provide better and more reliable services. Scalability, availability, capacity, latency, and privacy are some of the most pressing issues to consider when designing such architectures due to the critical and sensitive nature of healthcare data. To contribute to the reliability and robustness of electronic health services, this work proposes Healthcare Metropolitan Area Network (HMAN), a cooperative hierarchical Edge/ Fog computing-based architecture for the urban healthcare systems. The presented architecture suggests HMAN offloading scenarios and system response time calculation (HOSSC) algorithm which is specially designed to provide an abundance of offloading and processing scenarios within the network. The architecture also connects patients to the healthcare system by utilising the existing infrastructure in cities (e.g. medical centres and hospitals). Simulation results revealed that the designed architecture produced a ubiquitous and scalable healthcare system with promising and competitive performance, such as the computing capacity and service availability, by adopting multiple cooperative hierarchical offloading scenarios across the framework units. Moreover, the HMAN system was evaluated for latency and found to be very robust, with a short response time ranging between 6.043 and 31.45 ms in responding to 1 to 300 patients simultaneously sending. In addition to these appealing features, the proposed architecture ensures patients' privacy because the data are locally stored and processed in the most anticipated scenarios. The proposed architecture is a viable solution to providing healthcare services to a large number of patients. | INTRODUCTIONThe Internet of Things (IoT) phrase was coined in 1999 by Kevin Ashton, a British technology pioneer [1]. Nowadays, the phrase 'Internet of Things' refers to any network of devices or things that can be characterised as a system connecting objects, involving humans, animals, and inanimate objects, over the Internet. The number of IoT applications have been exponentially growing [2,3]. According to Gartner's research, the worldwide number of connected devices could increase from 8.4 billion in 2020 to 20.4 billion in 2022 [4]. The McKinsey Global Institute estimated that IoT applications will have an annual global economic impact ranging from $3.9 trillion to $11.1 trillion [4]. According to Facts and Factors, the IoT market was expected to reach $1842 billion by 2028, rising at a Compound Annual Growth Rate of 24.5% from 2021 to 2028 [5].The Internet of medical things (IoMT) is one of the most attractive areas in the recent IoT developments, with a promising business growth forecast of $158.07 billion by 20...

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“…IoMT devices are classified according to where they are used in [23]; Table 4 portrays the detected macro-categories. Also, in [24], two distinct criteria are considered to classify IoMT sensors, both reported in Table 4: one based on the operating principle of the sensor, the other on the type of medical application in which it is employed. The collection of these taxonomies presented in the literature mainly aims to demonstrate the growing importance that IoMT devices are assuming in the panorama of wireless network applications, given the numerous criteria that can be used to classify them.…”

Section: ) Internet Of Everything (Ioe)mentioning

confidence: 99%

The Next Generation of eHealth: A Multidisciplinary Survey

et al. 2022

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Over the past two years, the spread of COVID-19 has spurred the use of information and communication technologies (ICT) in aid of healthcare. The need to guarantee continuity to care has promoted research and industry activities aimed at developing solutions for the digitalization of the procedures to be performed to provide health services, even in emergency scenarios. Digital collection, transmission, and processing of health data represent the starting point for fulfilling this innovation process but also bring heterogeneous challenges. These motivations led to the elaboration of this work, which analyzes innovative and technological tools for the development of digital health (eHealth) through the collection of multisectoral literature, produced thanks to the cooperation of varied research groups, thus providing a multidisciplinary survey. Since digital health is expected to be one of the leading applications of the sixth-generation (6G) wireless cellular networks, this paper covers the related telecommunications aspects. Furthermore, the exploitation of artificial intelligence paradigms to elaborate massive amounts of biological data is examined. Given the extreme sensitivity of health data, this paper also investigates security and privacy issues. In particular, the main techniques and approaches to guarantee security properties (i.e., anonymity, responsibility, authentication, confidentiality, integrity, non-repudiation, and revocability) are studied. Applications involving innovative electromagnetic systems for healthcare and assisted living services are described to provide an example of an eHealth scenario leveraging ICT. Finally, the telemedicine-related regulations of the European Commission are analyzed, with particular reference to the General Data Protection Regulation (GDPR).

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Medical Sensors and Their Integration in Wireless Body Area Networks for Pervasive Healthcare Delivery: A Review

Cited by 49 publications

References 196 publications

Communication and Control in Collaborative UAVs: Recent Advances and Future Trends

Communication and Control in Collaborative UAVs: Recent Advances and Future Trends

Towards a cooperative hierarchical healthcare architecture using the HMAN offloading scenarios and SRT calculation algorithm

The Next Generation of eHealth: A Multidisciplinary Survey

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