The applications of nature-inspired meta-heuristic algorithms for decreasing the energy consumption of software-defined networks: A comprehensive and systematic literature review

Liu, Hean; Liao, Xiangyun; Du, B. T.

doi:10.1016/j.suscom.2023.100895

Cited by 4 publications

(2 citation statements)

References 72 publications

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“…Moreover, the interconnected nature of IoT devices in healthcare introduces additional entry points for cyber threats, emphasizing the need for stringent security measures to safeguard data transmission, device authentication, and the overall integrity of the healthcare ecosystem. Implementing robust encryption, access controls, and continuous monitoring is essential to mitigate security risks and ensure the trustworthiness of nature‐inspired algorithms deployed in IoT‐based healthcare services 129 . Dilation adapts CNNs for sequential data, LSTMs and GRUs enhance RNN memory, and GAN‐based balancing tackles data imbalance.…”

Section: Results and Comparisonmentioning

confidence: 99%

“…Implementing robust encryption, access controls, and continuous monitoring is essential to mitigate security risks and ensure the trustworthiness of nature-inspired algorithms deployed in IoT-based healthcare services. 129 Dilation adapts CNNs for sequential data, LSTMs and GRUs enhance RNN memory, and GAN-based balancing tackles data imbalance. This approach optimizes CNNs and RNNs for sequential data, addressing memory, gradient, and imbalance challenges in datasets.…”

Section: Security Issues In Nature-inspired Algorithms In Healthcare ...mentioning

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: Security Issues In Nature-inspired Algorithms In Healthcare ...mentioning

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

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Mapping biomimicry research to sustainable development goals

Raman,

Sreenivasan,

Suresh

et al. 2024

Sci Rep

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This study systematically evaluates biomimicry research within the context of sustainable development goals (SDGs) to discern the interdisciplinary interplay between biomimicry and SDGs. The alignment of biomimicry with key SDGs showcases its interdisciplinary nature and potential to offer solutions across the health, sustainability, and energy sectors. This study identified two primary thematic clusters. The first thematic cluster focused on health, partnership, and life on land (SDGs 3, 17, and 15), highlighting biomimicry's role in healthcare innovations, sustainable collaboration, and land management. This cluster demonstrates the potential of biomimicry to contribute to medical technologies, emphasizing the need for cross-sectoral partnerships and ecosystem preservation. The second thematic cluster revolves around clean water, energy, infrastructure, and marine life (SDGs 6, 7, 9, and 14), showcasing nature-inspired solutions for sustainable development challenges, including energy generation and water purification. The prominence of SDG 7 within this cluster indicates that biomimicry significantly contributes to sustainable energy practices. The analysis of thematic clusters further revealed the broad applicability of biomimicry and its role in enhancing sustainable energy access and promoting ecosystem conservation. Emerging research topics, such as metaheuristics, nanogenerators, exosomes, and bioprinting, indicate a dynamic field poised for significant advancements. By mapping the connections between biomimicry and SDGs, this study provides a comprehensive overview of the field's trajectory, emphasizing its importance in advancing global sustainability efforts.

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Prediction of Reliability of Data in Underwater Communication Network Using Fuzzy Logic

Yadav,

Yadav

2024

2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)

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The applications of nature-inspired meta-heuristic algorithms for decreasing the energy consumption of software-defined networks: A comprehensive and systematic literature review

Cited by 4 publications

References 72 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

Mapping biomimicry research to sustainable development goals

Prediction of Reliability of Data in Underwater Communication Network Using Fuzzy Logic

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