Design and Evaluation of Eco-IoT: An Energy- Efficient and Environmentally Sustainable IoT- WSN Framework

DOI

10.2991/978-94-6239-789-7_24How to use a DOI?

Keywords

Sustainable IoT; Wireless Sensor Networks (WSNs); Green Communication; Sensor Node Design; Energy-Efficient Routing; Environmental Impact

Abstract

The proliferation of constrained Internet of Things (IoT) devices has dramatically increased the use of Wireless Sensor Networks (WSNs), which are at times problematic to design due to limited energy resources and their non- deterministic nature. In this article, we present a new Eco-IoT, an end-to-end framework for sensor node design and energy-efficient communication to enhance the sustainability of IoT systems. By exploiting energy-aware routing and clustering mechanisms, as well as hardware-specific energy-efficient strategies, Eco-IoT minimizes the network’s power drain without degrading network performance. The proposed scheme is compared with the state-of-the-art protocols, namely, LEACH [1], PEGASIS [2], SEP [3], TEEN [4], EHEER [5], SMEOR [6], and ROTEE [7], achieving considerably better results in terms of network lifetime, throughput, and energy balance. The performance of Eco-IoT is also validated through simulation- based evaluations in MATLAB and NS-3 across varying topologies and traffic scenarios. Furthermore, the article discusses the ecological implications of WSN architecture and proposes an eco-sustainable model to mitigate electronic waste and carbon emissions in smart distribution. This work presents a comprehensive strategy that addresses current energy issues in IoT-WSN synergy and, at the same time, opens the door to future green computing paradigms. These results make Eco-IoT a promising candidate for building scalable, energy-aware, and environmentally friendly IoT systems.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Vijendra Rai
AU  - Sanatan Ratna
AU  - Ganesh Gupta
PY  - 2026
DA  - 2026/10/08
TI  - Design and Evaluation of Eco-IoT: An Energy- Efficient and Environmentally Sustainable IoT- WSN Framework
BT  - Proceedings of theInternational Conference on Innovation and Practices in Artificial Intelligence (ICIPAI 2026)
PB  - Atlantis Press
SP  - 332
EP  - 344
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-789-7_24
DO  - 10.2991/978-94-6239-789-7_24
ID  - Rai2026
ER  -