Reliable packet transmission in WBAN with dynamic and optimized QoS using multi-objective lion cooperative hunt optimizer

Kathuria, Madhumita; Gambhir, Sapna

doi:10.1007/s11042-020-10144-9

Cited by 9 publications

(7 citation statements)

References 45 publications

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“…Deep learning, according to [12], was instrumental in the discovery of architectures like the Hierarchical Computing Architecture (HiCH), which, when combined with algorithms like Internet of Things, convolutional neural network (CNN) [13,14], will lead to the development of wireless body area networks (WBAN) for wearable devices. A variety of machine learning algorithms, including KNN ,EM, C5.0, C4.5 and, are used to enhance AI by lling in missing data and building decision trees.…”

Section: Literature Surveymentioning

confidence: 99%

Blockchain Technologies in Healthcare System for Real Time Applications Using IoT and Deep Learning Techniques

Khan

Siddiqui

Albahlal

et al. 2023

Preprint

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Data transparency, flexible access, immutability, privacy, audit, traceability, data provenance, trust, and security are fundamental issues for modern healthcare data management systems. As a promising new technology, block chain has the potential to enhance healthcare data management functions by boosting data efficiency and guaranteeing trust. The present research looked into the benefits of block chain technology in healthcare and the challenges that have prevented its widespread implementation so far. Healthcare organisations around the world are using a variety of methods to modernise into more effective, coordinated and user-cantered structures. There is an increase in both human effort and security risks when dealing with massive amounts of data, such as reports and images for each individual. Internet of Things (IoT) solutions in healthcare aim to address these problems by enhancing patient care while reducing costs through more effective use of healthcare resources. However, many different types of intrusion can pose serious risks to IoT devices. In some cases, doctors will insist that their patients use only certain labs or pharmacies, regardless of the quality of the services they provide, simply to increase the doctor's bottom line. Because of this, protecting data is essential when discussing the Internet of Things. To solve these problems, Blockchain technology has emerged as the most reliable method for protecting the privacy of control systems in real time. In this paper, we will introduce a CNN-based healthcare data security framework using the blockchain technique by generating the hash of each data point, which will alert all users of the blockchain network to any unauthorised changes to data or breaches in the supply of medicines.

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Section: Literature Surveymentioning

confidence: 99%

Blockchain Technologies in Healthcare System for Real Time Applications Using IoT and Deep Learning Techniques

Khan

Siddiqui

Albahlal

et al. 2023

Preprint

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“…In the field of healthcare, deep learning has played a pivotal role in discovering architectures like Hierarchical Computing Architecture (HiCH) which when integrated with algorithms like convolutional neural network (CNN), and IoT will result in the development of wireless body area network (WBAN) [20] for wearable devices. EM, KNN, C4.5, and C5.0 are machine learning algorithms that are dedicated to determining missing values, decision tree generation, etc., to create an efficient architecture/module using AI upgrades.…”

Section: Literature Surveymentioning

confidence: 99%

Secure IoT Healthcare Architecture with Deep Learning‐Based Access Control System

Thilagam¹,

Beno²,

Lakshmi

et al. 2022

Journal of Nanomaterials

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The existing healthcare system based on traditional management involves the storage and processing of large quantities of medical data. The incorporation of the Internet of Things (IoT) and its gradual maturation has led to the evolution of IoT-enabled healthcare with extraordinary data processing capability and massive data storage. Due to the advancement in the Industrial Internet of Things (IIoT), the resulting system is aimed at building an intelligent healthcare system that can monitor the medical health of the patient by means of a wearable device that is monitored remotely. The data that is gathered by the wearable IoT module is stored in the cloud server which is subject to privacy leakage and attacks by unauthorized users and attackers. To address this security issue, an IoT-based deep learning-based privacy preservation and data analytics system is proposed in this work. Data is collected from the user, and the sensitive information is segregated and separated. Using a convolutional neural network (CNN), the health-related information is analyzed in the cloud, devoid of users’ privacy information. Thus, a secure access control module is introduced that works based on the user attributes for the IoT-Healthcare system. A relationship between the users’ trust and attributes is discovered using the proposed work. The precision, recall, and F1 score of the proposed CNN classifier are achieved at 95%. With the increase in the size of the training set, higher performance is attained. When data augmentation is added, the system performs better without data augmentation. Further, the accuracy of around 98% is achieved with an increased user count. Experimental analysis indicates the robustness and effectiveness of the proposed system with respect to low privacy leakage and high data integrity.

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“…Table 1 summarizes the main articles published in the last four years and their goal and QoS strategy. Among different QoS methods, studies focus mainly on four common strategies: (i) scheduling protocols [15,16]; (ii) data prioritization [15][16][17][18][19][20][21][22]; (iii) routing protocols [22][23][24][25][26][27]; (iv) resource management [16,21]. Studies have examined the use of data prioritization to reduce transmission time.…”

Section: Related Workmentioning

confidence: 99%

“…On the other hand, scheduling protocols control the time slot assignment for each data transmission and their order based on the amount and type of data. Several studies present QoS strategies for Wireless Body Area Network (WBAN) infrastructures [16,22,[24][25][26][27]29]. A WBAN comprises a private network of connected sensors transmitting data to a master node that relays the information to upper network layers.…”

Section: Related Workmentioning

confidence: 99%

Smart Hospitals and IoT Sensors: Why Is QoS Essential Here?

Rodrigues

Righi

Costa

et al. 2022

JSAN

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Background: the increasing adoption of smart and wearable sensors in the healthcare domain empowers the development of cutting-edge medical applications. Smart hospitals can employ sensors and applications for critical decision-making based on real-time monitoring of patients and equipment. In this context, quality of service (QoS) is essential to ensure the reliability of application data. Methods: we developed a QoS-aware sensor middleware for healthcare 4.0 that orchestrates data from several sensors in a hybrid operating room. We deployed depth imaging sensors and real-time location tags to monitor surgeries in real-time, providing data to medical applications. Results: an experimental evaluation in an actual hybrid operating room demonstrates that the solution can reduce the jitter of sensor samples up to 90.3%. Conclusions: the main contribution of this article relies on the QoS Service Elasticity strategy that aims to provide QoS for applications. The development and installation were demonstrated to be complex, but possible to achieve.

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Reliable packet transmission in WBAN with dynamic and optimized QoS using multi-objective lion cooperative hunt optimizer

Cited by 9 publications

References 45 publications

Blockchain Technologies in Healthcare System for Real Time Applications Using IoT and Deep Learning Techniques

Blockchain Technologies in Healthcare System for Real Time Applications Using IoT and Deep Learning Techniques

Secure IoT Healthcare Architecture with Deep Learning‐Based Access Control System

Smart Hospitals and IoT Sensors: Why Is QoS Essential Here?

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