IoT Solutions for Energy Efficiency: A Bibliometric Analysis of Environmental Impact and Resource Management

Authors

  • Loso Judijanto IPOSS Jakarta, Indonesia
  • Sulaiman Sulaiman Politeknik Negeri Kupang
  • Titik Haryanti Politeknik Tunas Pemuda Tangerang

DOI:

https://doi.org/10.58812/wsis.v2i12.1516

Keywords:

Internet of Things (IoT), Energy Efficiency, Sustainable Development, IoT Security, Bibliometric Analysis

Abstract

This bibliometric analysis explores the scope and dynamics of Internet of Things (IoT) research with a focus on energy efficiency, environmental impact, and resource management. Using data sourced from Scopus and visualized through VOSviewer, the study maps out the evolution of research themes, highlights interdisciplinary collaboration, and discusses the integration challenges and policy implications of IoT technologies. The analysis identifies a significant shift from foundational technological issues to applications that enhance sustainable development and address global energy demands. Despite challenges such as implementation costs, security concerns, and environmental impacts associated with IoT devices, the potential of IoT in promoting energy efficiency and sustainability is profound. The study also emphasizes the need for robust policies and international cooperation to fully leverage IoT benefits in addressing environmental and energy management challenges. Future research directions are suggested to further explore the integration of IoT with renewable energy sources and to enhance the sustainability of IoT systems.

References

C. Falkenreck, G. Leszczyński, and M. Zieliński, “What drives the successful launch of IoT-related business models?,” J. Bus. Ind. Mark., vol. 38, no. 13, pp. 180–194, 2023.

R. Y. Zhong, L. Wang, and X. Xu, “An IoT-enabled real-time machine status monitoring approach for cloud manufacturing,” Procedia Cirp, vol. 63, pp. 709–714, 2017.

A. Sadeghi-Niaraki, “Internet of Thing (IoT) review of review: Bibliometric overview since its foundation,” Futur. Gener. Comput. Syst., vol. 143, pp. 361–377, 2023.

M. A. Khan and K. Salah, “IoT security: Review, blockchain solutions, and open challenges,” Futur. Gener. Comput. Syst., vol. 82, pp. 395–411, 2018.

Y. Liu, C. Yang, L. Jiang, S. Xie, and Y. Zhang, “Intelligent edge computing for IoT-based energy management in smart cities,” IEEE Netw., vol. 33, no. 2, pp. 111–117, 2019.

S. Malathy, K. Sangeetha, C. N. Vanitha, and R. K. Dhanaraj, “Integrated architecture for IoTSG: internet of things (IoT) and smart grid (SG),” Smart Grids Internet Things An Energy Perspect., pp. 127–155, 2023.

M. Farjana, A. B. Fahad, S. E. Alam, and M. M. Islam, “An iot-and cloud-based e-waste management system for resource reclamation with a data-driven decision-making process,” IoT, vol. 4, no. 3, pp. 202–220, 2023.

N. Aloui, W. Almukadi, and A. Belghith, “Towards an IOT Approach for Smart Waste Management based on Context Ontology: A Case Study,” Eng. Technol. Appl. Sci. Res., vol. 13, no. 1, pp. 10186–10191, 2023.

N. N. Pujianik, I. N. S. Parwata, I. M. O. G. Antara, K. Kazumi, and A. Rivai, “Development of an IoT-Based Real-Time Monitoring System and LFA to Improve the Efficiency and Performance of the Wastewater Treatment Plant at Udayana University Hospital,” in Journal of the Civil Engineering Forum, 2023, pp. 109–116.

Y. Wungcharoen, “IoT adoption in SME manufacturers in Thailand,” 2022.

S. E. Bibri, “The IoT for smart sustainable cities of the future: An analytical framework for sensor-based big data applications for environmental sustainability,” Sustain. cities Soc., vol. 38, pp. 230–253, 2018.

B. Esmaeilian, J. Sarkis, K. Lewis, and S. Behdad, “Blockchain for the future of sustainable supply chain management in Industry 4.0,” Resour. Conserv. Recycl., vol. 163, p. 105064, 2020.

S. H. Alsamhi, O. Ma, M. S. Ansari, and F. A. Almalki, “Survey on collaborative smart drones and internet of things for improving smartness of smart cities,” Ieee Access, vol. 7, pp. 128125–128152, 2019.

M. Slabicki, G. Premsankar, and M. Di Francesco, “Adaptive configuration of LoRa networks for dense IoT deployments,” in NOMS 2018-2018 IEEE/IFIP Network Operations and Management Symposium, IEEE, 2018, pp. 1–9.

L. Yu, S. Qin, M. Zhang, C. Shen, T. Jiang, and X. Guan, “A review of deep reinforcement learning for smart building energy management,” IEEE Internet Things J., vol. 8, no. 15, pp. 12046–12063, 2021.

S. Zeadally, F. K. Shaikh, A. Talpur, and Q. Z. Sheng, “Design architectures for energy harvesting in the Internet of Things,” Renew. Sustain. Energy Rev., vol. 128, p. 109901, 2020.

J.-W. Han, M. Zuo, W.-Y. Zhu, J.-H. Zuo, E.-L. Lü, and X.-T. Yang, “A comprehensive review of cold chain logistics for fresh agricultural products: Current status, challenges, and future trends,” Trends Food Sci. Technol., vol. 109, pp. 536–551, 2021.

H. Sharma, A. Haque, and Z. A. Jaffery, “Maximization of wireless sensor network lifetime using solar energy harvesting for smart agriculture monitoring,” Ad Hoc Networks, vol. 94, p. 101966, 2019.

T. M. Behera, S. K. Mohapatra, U. C. Samal, M. S. Khan, M. Daneshmand, and A. H. Gandomi, “I-SEP: An improved routing protocol for heterogeneous WSN for IoT-based environmental monitoring,” IEEE Internet Things J., vol. 7, no. 1, pp. 710–717, 2019.

H. Elahi, K. Munir, M. Eugeni, S. Atek, and P. Gaudenzi, “Energy harvesting towards self-powered IoT devices,” Energies, vol. 13, no. 21, p. 5528, 2020.

Downloads

Published

2024-12-31

How to Cite

IoT Solutions for Energy Efficiency: A Bibliometric Analysis of Environmental Impact and Resource Management (L. Judijanto, S. Sulaiman, & T. Haryanti , Trans.). (2024). West Science Interdisciplinary Studies, 2(12), 2368-2380. https://doi.org/10.58812/wsis.v2i12.1516