Towards Sustainable Development: A Comprehensive Review of Strategies, Challenges, and Future Perspectives

Pankaj lambha

Abstract


Sustainable development has emerged as a global imperative in the face of mounting environmental, social, and economic challenges. This review paper presents an in-depth analysis of sustainable development, exploring its fundamental principles, diverse strategies, and the complexities associated with its implementation. We delve into the three pillars of sustainability - environmental, social, and economic - and examine the interconnectedness between them to achieve a harmonious balance for present and future generations. Through a thorough examination of sustainable development practices across various sectors, including energy, agriculture, urban planning, and technology, we showcase successful initiatives and their impacts on mitigating climate change, preserving natural resources, and promoting social equity. Furthermore, we address the challenges and barriers hindering sustainable development, such as policy gaps, limited resources, and resistance to change. The paper also explores the potential of emerging technologies, innovative financing mechanisms, and multi-stakeholder collaboration to drive progress towards sustainable development goals. By synthesizing existing research and insights, this review paper seeks to contribute to a deeper understanding of sustainable development, while highlighting the urgency for collective action in building a resilient and equitable future for all.

References


Arun Velu, P. W. (2021a). Impact of Covid Vaccination on the Globe using data analytics. International Journal of Sustainable Development in Computing Science, 3(2).

Bhatia, V., & Bhatia, G. (2013a). Room temperature based fan speed control system using pulse width modulation technique. International Journal of Computer Applications, 81(5).

Bhatia, V., & Whig, P. (2013b). A secured dual tune multi frequency based smart elevator control system. International Journal of Research in Engineering and Advanced Technology, 4(1), 1163–2319.

Chopra, G., & WHIG, P. (2022a). A clustering approach based on support vectors. International Journal of Machine Learning for Sustainable Development, 4(1), 21–30.

Chopra, G., & Whig, P. (2022a). Energy Efficient Scheduling for Internet of Vehicles. International Journal of Sustainable Development in Computing Science, 4(1).

Chopra, G., & WHIG, P. (2022b). Using machine learning algorithms classified depressed patients and normal people. International Journal of Machine Learning for Sustainable Development, 4(1), 31–40.

Jupalle, H., Kouser, S., Bhatia, A. B., Alam, N., Nadikattu, R. R., & Whig, P. (2022). Automation of human behaviors and its prediction using machine learning. Microsystem Technologies, 1–9.

Khera, Y., Whig, P., & Velu, A. (2021a). efficient effective and secured electronic billing system using AI. Vivekananda Journal of Research, 10, 53–60.

Lahade, S. v, & Hirekhan, S. R. (2015a). Intelligent and adaptive traffic light controller (IA-TLC) using FPGA. 2015 International Conference on Industrial Instrumentation and Control (ICIC), 618–623.

Mamza, E. S. (2021). Use of AIOT in Health System. International Journal of Sustainable Development in Computing Science, 3(4), 21–30.

Nadikattu, R. R. (2014a). Content analysis of American & Indian Comics on Instagram using Machine learning. International Journal of Creative Research Thoughts (IJCRT), ISSN, 2320–2882.

Nadikattu, R. R., Mohammad, S. M., & Whig, P. (2020a). Novel economical social distancing smart device for covid-19. International Journal of Electrical Engineering and Technology (IJEET).

Rupani, A., Whig, P., Sujediya, G., & Vyas, P. (2017a). A robust technique for image processing based on interfacing of Raspberry-Pi and FPGA using IoT. 2017 International Conference on Computer, Communications and Electronics (Comptelix), 350–353.

Sharma, A., Kumar, A., & Whig, P. (2015a). On the performance of CDTA based novel analog inverse low pass filter using 0.35 µm CMOS parameter. International Journal of Science, Technology & Management, 4(1), 594–601.

Tomar, U., Chakroborty, N., Sharma, H., & Whig, P. (2021). AI based Smart Agricuture System. Transactions on Latest Trends in Artificial Intelligence, 2(2).

Velu, A., & Whig, P. (2021a). Protect Personal Privacy And Wasting Time Using Nlp: A Comparative Approach Using Ai. Vivekananda Journal of Research, 10, 42–52.

Whig, P. (2019a). A Novel Multi-Center and Threshold Ternary Pattern. International Journal of Machine Learning for Sustainable Development, 1(2), 1–10.

Whig, P. (2019d). Exploration of Viral Diseases mortality risk using machine learning. International Journal of Machine Learning for Sustainable Development, 1(1), 11–20.

WHIG, P. (2022). More on Convolution Neural Network CNN. International Journal of Sustainable Development in Computing Science, 4(1).

Whig, P., & Ahmad, S. N. (2011a). On the performance of ISFET-based device for water quality monitoring. Int’l J. of Communications, Network and System Sciences, 4(11), 709.

Whig, P., & Ahmad, S. N. (2012a). A CMOS integrated CC-ISFET device for water quality monitoring. International Journal of Computer Science Issues, 9(4), 1694–1814.

Whig, P., & Ahmad, S. N. (2012f). Performance analysis of various readout circuits for monitoring quality of water using analog integrated circuits. International Journal of Intelligent Systems and Applications, 4(11), 103.

Whig, P., & Ahmad, S. N. (2013a). A novel pseudo-PMOS integrated ISFET device for water quality monitoring. Active and Passive Electronic Components, 2013.

Whig, P., & Ahmad, S. N. (2014a). Development of economical ASIC for PCS for water quality monitoring. Journal of Circuits, Systems and Computers, 23(06), 1450079.

Whig, P., & Ahmad, S. N. (2014c). Simulation of linear dynamic macro model of photo catalytic sensor in SPICE. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering.

Whig, P., Kouser, S., Velu, A., & Nadikattu, R. R. (2022). Fog-IoT-Assisted-Based Smart Agriculture Application. In Demystifying Federated Learning for Blockchain and Industrial Internet of Things (pp. 74–93). IGI Global.

Whig, P., Nadikattu, R. R., & Velu, A. (2022). COVID-19 pandemic analysis using application of AI. Healthcare Monitoring and Data Analysis Using IoT: Technologies and Applications, 1.

Whig, P., Velu, A., & Bhatia, A. B. (2022). Protect Nature and Reduce the Carbon Footprint With an Application of Blockchain for IIoT. In Demystifying Federated Learning for Blockchain and Industrial Internet of Things (pp. 123–142). IGI Global.

Whig, P., Velu, A., & Naddikatu, R. R. (2022). The Economic Impact of AI-Enabled Blockchain in 6G-Based Industry. In AI and Blockchain Technology in 6G Wireless Network (pp. 205–224). Springer, Singapore.

Whig, P., Velu, A., & Nadikattu, R. R. (2022). Blockchain Platform to Resolve Security Issues in IoT and Smart Networks. In AI-Enabled Agile Internet of Things for Sustainable FinTech Ecosystems (pp. 46–65). IGI Global.

Whig, P., Velu, A., & Ready, R. (2022). Demystifying Federated Learning in Artificial Intelligence With Human-Computer Interaction. In Demystifying Federated Learning for Blockchain and Industrial Internet of Things (pp. 94–122). IGI Global.

Whig, P., Velu, A., & Sharma, P. (2022). Demystifying Federated Learning for Blockchain: A Case Study. In Demystifying Federated Learning for Blockchain and Industrial Internet of Things (pp. 143–165). IGI Global.


Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 International Journal of Sustainable Development in Computing Science

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

A Double-Blind Peer Reviewed Journal