A new QoS-aware method for production scheduling in the industrial internet of things using elephant herding optimization algorithm

Avval, Danial Bakhshayeshi; Heris, Pouria Ouni; Navimipour, Nima Jafari; Mohammadi, Behnaz; Yalçın, Şenay

doi:10.1007/s10586-022-03743-8

Cited by 6 publications

(2 citation statements)

References 41 publications

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“…The tuning of parameters such as inertia weight and acceleration coefficients can be intricate and requires domain‐specific knowledge. Additionally, PSO may face difficulties in effectively handling high‐dimensional and complex optimization spaces, limiting its applicability in scenarios where healthcare data is intricate 100 . The algorithm's inherent exploration‐exploitation trade‐off may lead to suboptimal solutions in dynamic healthcare environments where the optimal solution may change over time.…”

Section: Results and Comparisonmentioning

confidence: 99%

“…Additionally, PSO may face difficulties in effectively handling high-dimensional and complex optimization spaces, limiting its applicability in scenarios where healthcare data is intricate. 100 The algorithm's inherent exploration-exploitation trade-off may lead to suboptimal solutions in dynamic healthcare environments where the optimal solution may change over time. Furthermore, the lack of guaranteed global convergence in PSO raises concerns about the algorithm's robustness and reliability.…”

Section: Pso Analysismentioning

confidence: 99%

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The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature review

Amiri,

Heidari,

Zavvar

et al. 2024

Trans Emerging Tel Tech

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Nature‐inspired algorithms revolve around the intersection of nature‐inspired algorithms and the IoT within the healthcare domain. This domain addresses the emerging trends and potential synergies between nature‐inspired computational approaches and IoT technologies for advancing healthcare services. Our research aims to fill gaps in addressing algorithmic integration challenges, real‐world implementation issues, and the efficacy of nature‐inspired algorithms in IoT‐based healthcare. We provide insights into the practical aspects and limitations of such applications through a systematic literature review. Specifically, we address the need for a comprehensive understanding of the applications of nature‐inspired algorithms in IoT‐based healthcare, identifying gaps such as the lack of standardized evaluation metrics and studies on integration challenges and security considerations. By bridging these gaps, our paper offers insights and directions for future research in this domain, exploring the diverse landscape of nature‐inspired algorithms in healthcare. Our chosen methodology is a Systematic Literature Review (SLR) to investigate related papers rigorously. Categorizing these algorithms into groups such as genetic algorithms, particle swarm optimization, cuckoo algorithms, ant colony optimization, other approaches, and hybrid methods, we employ meticulous classification based on critical criteria. MATLAB emerges as the predominant programming language, constituting 37.9% of cases, showcasing a prevalent choice among researchers. Our evaluation emphasizes adaptability as the paramount parameter, accounting for 18.4% of considerations. By shedding light on attributes, limitations, and potential directions for future research and development, this review aims to contribute to a comprehensive understanding of nature‐inspired algorithms in the dynamic landscape of IoT‐based healthcare services.

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Section: Results and Comparisonmentioning

confidence: 99%

Section: Pso Analysismentioning

confidence: 99%

The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature review

Amiri,

Heidari,

Zavvar

et al. 2024

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

A comprehensive systematic and bibliometric review of the IoT-based healthcare systems

Bovenizer

Chetthamrongchai

2023

Cluster Comput

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In the healthcare sector, the growth in technology has had a huge effect. Besides, when introduced to the world of healthcare, the Internet of Things (IoT) will simplify the transition by helping physicians closely track their patients, allowing rapid recovery. Aged patients/people should be intensively checked, and their loved ones must be aware of their wellbeing periodically. Therefore, using IoT in healthcare will simplify the lives of physicians and patients alike. Hence, this study explored a comprehensive review of intelligent IoT-based embedded healthcare systems. The papers around intelligent IoT-based healthcare systems printed until Dec-2022 are studied, and some research lines are suggested for the upcoming researchers. Thus, this study’s innovation will apply healthcare systems based on IoT to include certain strategies for the future deployment of new generations of IoT-based health technology. The findings revealed that IoT is beneficial for governments to strengthen society’s health and economic relations. Besides, owing to novel functional principles, IoT needs modern safety infrastructure. This study is helpful for prevalent and useful electronic healthcare services, health experts, and clinicians.

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A QoS-aware routing approach for Internet of Things-enabled wireless sensor networks in smart cities

Karunkuzhali,

Meenakshi,

Lingam

2024

Multimed Tools Appl

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A new QoS-aware method for production scheduling in the industrial internet of things using elephant herding optimization algorithm

Cited by 6 publications

References 41 publications

The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature review

The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature review

A comprehensive systematic and bibliometric review of the IoT-based healthcare systems

A QoS-aware routing approach for Internet of Things-enabled wireless sensor networks in smart cities

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