A Comprehensive Survey of Energy-Efficient Routing Techniques in IoT-Enabled Wireless Sensor Networks

Neha Yadav , Poornima M R , Vimala H S

IoT, routing methods, energy efficiency, swarm intelligence, cluster-based.

The Internet of Things (IoT) connects devices, often sensor-based, to collect and share data autonomously. In IoT-enabled Wireless Sensor Networks (WSNs), small sensor nodes gather environmental data and send it to a central hub for analysis. However, these nodes have limited energy resources, making energy-efficient communication critical for network longevity. This review focuses on energy-efficient routing in IoT-WSNs, examining strategies like multi-hop communication, clustering, and machine learning to optimize data flow and conserve energy. It highlights advancements such as quantum-inspired optimization, blockchain for secure routing, and energy harvesting, all aimed at improving efficiency and extending the lifespan of IoT networks for diverse applications. Objective: The purpose of this survey is to examine the state-of-the-art research on energy-conscious routing protocols and algorithms that minimize energy consumption during data transmission, as well as problems and obstacles related to routing and potential future directions for IoT research. The integration of these energy-efficient routing techniques with new IoT technologies, such as edge computing, 5G, and artificial intelligence (AI), is also explored in this review. It looks at how these linkages can improve data processing in real time, make the best use of available resources, and cut down on energy usage even more in large-scale implementations. Conclusion: This paper addresses key challenges such as energy efficiency and network reliability.

Published Paper   E-Certificate

"A Comprehensive Survey of Energy-Efficient Routing Techniques in IoT-Enabled Wireless Sensor Networks", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 10, page no.b614-b651, October-2024, Available :https://ijnrd.org/papers/IJNRD2410172.pdf

Volume 9 Issue 10, October-2024

Pages : b614-b651

Paper Reg. ID: IJNRD_301342

Published Paper Id: IJNRD2410172

Downloads: 00030

Research Area: Science and Technology

Country: Bengaluru, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2410172

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2410172

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition