Sustainable IoT: Enabling a Connected Future for Environmental Conservation and Efficient Resource Management

PAWAN WHIG

Abstract


The Internet of Things (IoT) has revolutionized connectivity and enabled unprecedented opportunities for data-driven decision-making. As the IoT continues to expand, it is essential to consider its sustainability implications and harness its potential for environmental conservation and efficient resource management. This paper explores the concept of sustainable IoT, highlighting the need to balance technological advancements with environmental responsibility. We delve into the environmental dimensions of sustainable IoT, including energy consumption, electronic waste, and the ecological impact of IoT devices. Moreover, we discuss the potential of IoT in promoting sustainability across sectors, such as smart cities, agriculture, energy management, and transportation. The paper emphasizes the importance of responsible IoT design, incorporating energy-efficient protocols, sustainable materials, and end-of-life considerations. Additionally, we explore the role of data privacy, security, and ethical considerations in ensuring the sustainable deployment and usage of IoT devices. We discuss strategies for optimizing IoT networks, such as edge computing, data analytics, and predictive algorithms, to minimize resource consumption and enhance overall efficiency. Furthermore, we examine policy frameworks and regulatory measures aimed at promoting sustainable IoT practices and addressing potential social and ethical challenges. By embracing sustainable IoT principles, we can leverage the power of connected technologies to drive environmental conservation, improve resource management, and enhance quality of life. This paper provides insights and recommendations for researchers, policymakers, and practitioners to shape a sustainable and responsible future powered by the IoT.

References


Kolla, Venkata Ravi Kiran, A Comparative Analysis of OS Forensics Tools (April 2, 2022). International Journal of Research in IT and Management (IJRIM), Vol. 12 Issue 4, April- 2022 , Available at SSRN: https://ssrn.com/abstract=4413730

Kolla, Venkata Ravi Kiran, Emojify: A Deep Learning Approach for Custom Emoji Creation and Recognition (January 11, 2021). International Journal of Creative Research Thoughts, 2021, Available at SSRN: https://ssrn.com/abstract=4413719

Kolla, Venkata Ravi Kiran, Heart Disease Diagnosis Using Machine Learning Techniques In Python: A Comparative Study of Classification Algorithms For Predictive Modeling (September 6, 2015). International Journal of Electronics and Communication Engineering & Technology, 2015, Available at SSRN: https://ssrn.com/abstract=4413723

Kolla, Venkata Ravi Kiran, A Secure Artificial Intelligence Agriculture Monitoring System (July 31, 2021). JounalNX, 2021, Available at SSRN: https://ssrn.com/abstract=4413466

Kolla, Venkata Ravi Kiran, Paws And Reflect: A Comparative Study of Deep Learning Techniques For Cat Vs Dog Image Classification (December 20, 2020). International Journal of Computer Engineering and Technology, 2020, Available at SSRN: https://ssrn.com/abstract=4413724

Kolla, Venkata Ravi Kiran, Forecasting the Future of Crypto currency: A Machine Learning Approach for Price Prediction (December 1, 2020). International Research Journal of Mathematics, Engineering and IT, Volume 7, Issue 12, December 2020, Available at SSRN: https://ssrn.com/abstract=4413732

Kolla, Venkata Ravi Kiran, Forecasting the Future: A Deep Learning Approach for Accurate Weather Prediction (December 01, 2018). International Journal in IT & Engineering (IJITE), 2018, Available at SSRN: https://ssrn.com/abstract=4413727

Kolla, Venkata Ravi Kiran, Forecasting Laptop Prices: A Comparative Study of Machine Learning Algorithms for Predictive Modeling (December 30, 2016). International Journal of Information Technology & Management Information System, 2016, Available at SSRN: https://ssrn.com/abstract=4413726

Kolla, Venkata Ravi Kiran, Analyzing the Pulse of Twitter: Sentiment Analysis using Natural Language Processing Techniques (August 1, 2016). International Journal of Creative Research Thoughts, 2016, Available at SSRN: https://ssrn.com/abstract=4413716

Meenigea , N., & kolla, V. ravi kiran. (2013). Heart Disease Prediction using Deep Learning and Artificial intelligence. International Journal of Statistical Computation and Simulation, 5(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/150

Meenigea, N. (2014). Type 2 Diabetes mellitus treatment intensification and deintensification. Transaction on Recent Devlopment in Industrial IoT, 6 (6).

Meenigea, N. (2022). Evaluation of antioxidant potential and antimicrobial activity. Transactions on Latest Trends in Health Sector, 14(14). Retrieved from https://ijsdcs.com/index.php/TLHS/article/view/269

Meenigea, N. (2022). In hospital deprescribing in the real world. Transactions on Latest Trends in Artificial Intelligence, 3(3). Retrieved from https://ijsdcs.com/index.php/TLAI/article/view/276

Meenigea, N. (2019). A systematic review OF splitting a tablet obtain an accurate dose. International Journal of Machine Learning for Sustainable Development, 1(2), 51-60. Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/273

Meenigea, N. (2019). EMOJIFY-CREATE YOUR OWN EMOJIS WITH DEEP LEARNING. International Journal of Sustainable Development in Computing Science, 1(1), 31-39.

Meenigea, N. (2015). Assessing the acceptance of augmented-reality. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 7 (7).

Meenigea, N. kolla, V. ravi kiran.(2019). Classification of Fruits/Vegetables using TensorFlow. International Transactions in Artificial Intelligence, 3(3).

Meenigea, N. kolla, V. ravi kiran.(2013). Heart Disease Prediction using Deep Learning and Artificial intelligence. International Journal of Statistical Computation and Simulation, 5(1).

Meenigea, N. (2021). Safety of metaraminol in critically ill patients with shock. International Journal of Sustainable Devlopment in Computer Science Engineering, 7(7).

Meenigea, N. (2021). Virtual Objective Structured Clinical Examinations. International Scientific Journal for Research, 3 (3).

Meenigea, N. (2020). Experiential-based foundational pharmacy residency programs: a narrative review. International Scientific Journal for Research, 2 (2).

Meenigea, N. (2020). Exploring career advancement of pharmacy. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 12 (12).

Meenigea, N. (2018). Building a pharmacy workforce from the ground up to support the COVID-19 vaccine rollout. Transactions on Latest Trends in IoT, 1(1), 61-67. Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/278

Meenigea, N. (2018). Knowledge and perceptions of outpatients regarding upper respiratory tract. International Journal of Managment Education for Sustainable Development, 1(1), 50-55.

Meenigea, N. (2018). A Comparative Analysis of OS Forensics Tools in Health Sector. Transaction on Recent Devlopment in Industrial IoT, 10 (10).

Meenigea, N. (2017). Developing a mobile device-based medicines management application for people who are blind and visually impaired. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 9 (9).

Meenigea, N. kolla, V. ravi kiran.(2017). DETERMINING TELECOM COMPANY CHURN PREDICTION USING MACHINE LEARNING. International Transactions in Artificial Intelligence, 1(1).

Meenigea, N. (2023). Exploring the Current Landscape of Artificial Intelligence in Healthcare. International Journal of Sustainable Development in Computing Science, 1(1). Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/285

Meenigea , N., & kolla, V. ravi kiran. (2013). Heart Disease Prediction using Deep Learning and Artificial intelligence. International Journal of Statistical Computation and Simulation, 5(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/150

Nadikattu, A., & Kolla, V. (2023). A method using deep learning to forecast Game of Champions results. International Journal of Machine Learning for Sustainable Development, 5(1), 1-15. Retrieved from https://ijsdcs.com/index.php/IJMLSD/article/view/284

alag, r., & Kolla, V. (2023). Improving Fraud Detection in Financial Transactions using Machine Learning. International Journal of Machine Learning for Sustainable Development, 5(1), 16-21. Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/289

Kolla, V. (2022). Moodle as a tool for managing your own knowledge. International Journal of Managment Education for Sustainable Development, 5(5). Retrieved from https://www.ijsdcs.com/index.php/IJMESD/article/view/233

Jain, M., & Kolla, V. (2022). To the defence of online models for segmenting video instances. International Journal of Machine Learning for Sustainable Development, 4(3), 21-30. Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/117

sahni, R., & Kolla, V. (2022). Design of Daily Expense Manager using AI. International Journal of Sustainable Development in Computing Science, 4(2), 1-10. Retrieved from https://ijsdcs.com/index.php/ijsdcs/article/view/86

Kolla, V. (2022). Machine Learning Application to automate and forecast human behaviours.. International Journal of Machine Learning for Sustainable Development, 4(1), 1-10. Retrieved from https://ijsdcs.com/index.php/IJMLSD/article/view/82

Kolla, V. (2021). Prediction in Stock Market using AI. Transactions on Latest Trends in Health Sector, 13(13). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/200

Kolla, V. (2021). Cyber security operations centre ML framework for the needs of the users. International Journal of Machine Learning for Sustainable Development, 3(3), 11-20. Retrieved from https://ijsdcs.com/index.php/IJMLSD/article/view/46


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