An Intelligent Healthcare System Using IoT in Wireless Sensor Network

Jabeen, Tallat; Jabeen, Ishrat; Ashraf, Humaira; Jhanjhi, N. Z.; Yassine, Abdulsalam; Hossain, M. Shamim

doi:10.3390/s23115055

Cited by 22 publications

(3 citation statements)

References 29 publications

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“…This amalgamation (TABLE 1) fosters a connected, efficient, and secure healthcare ecosystem, vital for improved patient care and management. Similarly, in a work by Jabeen et al, an intelligent healthcare system is proposed utilizing Wireless Sensor Networks (WSN) [39]. Nano-sensors collect realtime health data and transmit it to a server.…”

Section: DLmentioning

confidence: 99%

Internet of Medical Things and the Evolution of Healthcare 4.0: Exploring Recent Trends

Mukhopadhyay,

Banerjee,

Das Mukhopadhyay

2024

j.electron.electromedical.eng.med.inform

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Enhanced patient care and remote health monitoring have always been important issues. Internet of Medical Things (IoMT) is a subsection of Healthcare 4.0 that uses recent technologies like mobile computing, medical sensors, and cloud computing to track patients' medical information in real-time. These data are stored in a cloud computing framework that may be accessed and analyzed by healthcare experts. IoMT and Healthcare 4.0 have immense potential for revolutionizing patient care and diagnostics, despite facing numerous complex challenges. This paper thoroughly analyzes technical, structural, and regulatory obstacles encountered by the healthcare sector. Challenges in IoMT implementation include cost considerations, network stress, interoperability issues, ethical limitations, policy intricacies, security concerns, and vulnerabilities jeopardizing patient privacy. However, amidst these challenges, the study highlights the prospective long-term benefits, including diminished medical costs and enhanced patient care. In this study, we have portrayed a comprehensive exploration of the field of IoMT and different related technologies from more than 100 papers to represent the transformation and growth in this decade. We have illustrated some of the significant findings of applications and innovations in the domain of IoMT. This paper delves into IoMT's application in dementia detection and care, improved data management, fortified cybersecurity measures, and modernizing existing healthcare systems. The study also offers valuable insights into potential mitigation strategies, offered by ongoing research and innovation to address emerging trends and challenges, propelling the trajectory of Healthcare 4.0 towards an optimized and transformative future for patient well-being. Hence future research needs to integrate more prudent technologies addressing challenges including security, privacy, interoperability, and implementation costs.

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Section: DLmentioning

confidence: 99%

Internet of Medical Things and the Evolution of Healthcare 4.0: Exploring Recent Trends

Mukhopadhyay,

Banerjee,

Das Mukhopadhyay

2024

j.electron.electromedical.eng.med.inform

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“…Objects in the IoT ecosystem must be aware of the current network status and respond to anomalous activities that jeopardize security. Effective protocols and software solutions play a crucial role in securing IoT data (Zikria et al, 2021;Jabeen et al, 2023).…”

Section: Bmentioning

confidence: 99%

Innovations in Security: A Study of Cloud Computing and IoT

Azam,

Tajwar,

Mayhialagan

et al. 2023

IJEMD-CSAI

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Cloud computing and IoT security are pivotal technologies that have reshaped the IT landscape. Leading tech giants like Google, Microsoft, and Amazon have harnessed their potential, continually enhancing these services. Despite their increasing user bases, these technologies face significant hurdles, with security emerging as the foremost challenge. This paper delves into the security aspects of both cloud computing and IoT services, encompassing security components, processes, threats, and real-world examples of security-related technologies. We also explore the impacts, including benefits, limitations, and future potential of cloud computing and IoT security services. In our exploration, we define cloud computing and the Internet of Things (IoT) to provide a foundational understanding of these technologies. We then investigate their real-world applications, highlighting their relevance and ubiquity in various domains. The core of this paper revolves around the discussion of security issues in cloud computing and IoT. For IoT, we dissect security components, processes, and threats, offering real-world technology examples to illustrate their significance. Similarly, for cloud computing, we delve into its security components, processes, and threats while showcasing practical applications of security technologies. The impact section assesses the benefits of cloud computing and IoT security. It also candidly addresses issues, limitations, and challenges associated with these technologies, offering insights into potential future advancements. This comprehensive study underscores the significance of security in the domains of cloud computing and IoT, offering a valuable resource for both practitioners and researchers. As these technologies continue to evolve, understanding their security implications is crucial for harnessing their full potential.

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“…Sensor networks play a vital role in the study of intelligent environmental monitoring systems [ 1 , 2 ]. Node localization optimization (NLO) and node coverage optimization (NCO) are important problems in WSNs [ 3 , 4 , 5 , 6 ], which are the core component of the Internet of Things (IoT) for intelligent management.…”

Section: Introductionmentioning

confidence: 99%

Joint Light-Sensitive Balanced Butterfly Optimizer for Solving the NLO and NCO Problems of WSN for Environmental Monitoring

Xia,

Yang,

Zhang

et al. 2023

Biomimetics

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Existing swarm intelligence (SI) optimization algorithms applied to node localization optimization (NLO) and node coverage optimization (NCO) problems have low accuracy. In this study, a novel balanced butterfly optimizer (BBO) is proposed which comprehensively considers that butterflies in nature have both smell-sensitive and light-sensitive characteristics. These smell-sensitive and light-sensitive characteristics are used for the global and local search strategies of the proposed algorithm, respectively. Notably, the value of individuals’ smell-sensitive characteristic is generally positive, which is a point that cannot be ignored. The performance of the proposed BBO is verified by twenty-three benchmark functions and compared to other state-of-the-art (SOTA) SI algorithms, including particle swarm optimization (PSO), differential evolution (DE), grey wolf optimizer (GWO), artificial butterfly optimization (ABO), butterfly optimization algorithm (BOA), Harris hawk optimization (HHO), and aquila optimizer (AO). The results demonstrate that the proposed BBO has better performance with the global search ability and strong stability. In addition, the BBO algorithm is used to address NLO and NCO problems in wireless sensor networks (WSNs) used in environmental monitoring, obtaining good results.

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An Intelligent Healthcare System Using IoT in Wireless Sensor Network

Cited by 22 publications

References 29 publications

Internet of Medical Things and the Evolution of Healthcare 4.0: Exploring Recent Trends

Internet of Medical Things and the Evolution of Healthcare 4.0: Exploring Recent Trends

Innovations in Security: A Study of Cloud Computing and IoT

Joint Light-Sensitive Balanced Butterfly Optimizer for Solving the NLO and NCO Problems of WSN for Environmental Monitoring

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