IoT-Enabled Sustainable Development: Architectures, Applications, Challenges, and Future Directions

Year : 2026 | Volume : 13 | Issue : 02 | Page : 25 49
By

Ikvinderpal Singh,

Sapandeep Kaur Dhillon,

  1. Assistant Professor, PG Department of Computer Science & Applications, Trai Shatabdi Guru Gobind Singh Khalsa College, Punjab, India
  2. Assistant Professor, Department of Computer Science, Guru Nanak Dev University, Punjab, India

Abstract

The Internet of Things (IoT) has developed into a powerful technology that can help tackle key global sustainability issues by enabling real-time monitoring, supporting data-based decisions, and facilitating smart automation. By interconnecting physical devices, sensors, and communication networks, IoT enables continuous data collection and analysis that supports efficient resource utilization across multiple sectors such as energy, agriculture, water management, transportation, and urban infrastructure. Through smart sensing and automated control systems, IoT can optimize energy consumption, improve agricultural productivity, monitor environmental conditions, and enhance urban service management. This study provides a comprehensive analysis of IoT-driven sustainable development and its alignment with the global sustainability agenda defined by the United Nations Sustainable Development Goals (SDGs). The paper explores the architectural foundations of IoT systems, including perception, network, processing, and application layers, as well as enabling technologies such as edge computing, artificial intelligence, and low-power communication protocols. In addition, it reviews key domain applications where IoT contributes to sustainability, including smart energy systems, precision agriculture, intelligent transportation, and environmental monitoring. These applications demonstrate how IoT can improve operational efficiency, reduce resource waste, and support evidence-based decision-making in complex socio-technical systems. Furthermore, the paper examines the environmental and socio-economic impacts of IoT deployment, highlighting both its benefits and associated challenges. While IoT systems can significantly improve energy efficiency, water conservation, and pollution monitoring, issues such as cybersecurity risks, interoperability limitations, scalability constraints, and the energy consumption of IoT infrastructure must also be carefully addressed. To overcome these challenges, the study proposes a structured framework for integrating IoT into sustainable ecosystems. The framework emphasizes lifecycle management, Green IoT design principles, edge intelligence for real-time analytics, and alignment with regulatory and policy frameworks. Finally, the study identifies key future research directions that can enhance the sustainability potential of IoT systems. These include the integration of AI-driven IoT analytics, development of energy-efficient and low-power communication technologies, blockchain-based mechanisms for transparent environmental data management, and IoT-enabled circular economy systems that support resource tracking and reuse. Overall, the findings suggest that when implemented responsibly and supported by robust governance and technological innovation, IoT can play a crucial role in accelerating progress toward global sustainability objectives and building resilient, resource-efficient ecosystems.

Keywords: Internet of Things, Sustainable Development, Smart Cities, Green IoT, Energy Efficiency, Environmental Monitoring, SDGs

[This article belongs to Journal of Mobile Computing, Communications & Mobile Networks ]

How to cite this article: Ikvinderpal Singh, Sapandeep Kaur Dhillon. IoT-Enabled Sustainable Development: Architectures, Applications, Challenges, and Future Directions. Journal of Mobile Computing, Communications & Mobile Networks. 2026; 13(02):25-49.
How to cite this URL: Ikvinderpal Singh, Sapandeep Kaur Dhillon. IoT-Enabled Sustainable Development: Architectures, Applications, Challenges, and Future Directions. Journal of Mobile Computing, Communications & Mobile Networks. 2026; 13(02):25-49. Available from: https://journals.stmjournals.com/jomccmn/article=2026/view=246435

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Regular Issue Subscription Original Research
Volume 13
Issue 02
Received 04/03/2026
Accepted 09/06/2026
Published 09/06/2026
Publication Time 97 Days

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