Energy-Efficient Protocols for Massive IOT Connectivity in 6G Networks

The possible evolution in wireless communication as it approaches sixth-generation (6G) networks highlights remarkable features, including one of device connectivity, ultra-low latency, and energy efficiency, enabling mIoT deployment. However, these features come with a myriad of challenges with the integration of billions of constrained IoT devices, especially in relation to the aforementioned energy hurdles alongside scalability and spectrum efficiency. This work focuses on energy-efficient 6G IoT networks, proposing new low-power adaptive communication protocols, emphasising power adaptive performance, dependability, and trustworthiness. The roles of key facilitators, Reconfigurable Intelligent Surfaces (RIS), Non-Orthogonal Multiple Access (NOMA), machine learning coupled with energy harvesting, and even off-grid sustainable power sources are critical for enhanced sustainable connectivity. Covering the protocol design in the physical, MAC, and network layers permits the highlighting of cross-layer optimisation IoT ecosystems in 6G and the focused attention IoT research lacks, supporting bold, environmentally sustainable infrastructure designs.

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Publication Details

Journal
International Journal of Engineering Science and Information Technology
Published
2025-05-06
DOI
https://doi.org/10.52088/ijesty.v5i1.1449
Citations
1
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
2.48
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article

Energy-Efficient Protocols for Massive IOT Connectivity in 6G Networks

1 citations
International Journal of Engineering Science and Information Technology
Geochemistry and Geologic Mapping
2.48
article

Energy-Efficient Protocols for Massive IOT Connectivity in 6G Networks

article en
1 citations

Abstract

The possible evolution in wireless communication as it approaches sixth-generation (6G) networks highlights remarkable features, including one of device connectivity, ultra-low latency, and energy efficiency, enabling mIoT deployment. However, these features come with a myriad of challenges with the integration of billions of constrained IoT devices, especially in relation to the aforementioned energy hurdles alongside scalability and spectrum efficiency. This work focuses on energy-efficient 6G IoT networks, proposing new low-power adaptive communication protocols, emphasising power adaptive performance, dependability, and trustworthiness. The roles of key facilitators, Reconfigurable Intelligent Surfaces (RIS), Non-Orthogonal Multiple Access (NOMA), machine learning coupled with energy harvesting, and even off-grid sustainable power sources are critical for enhanced sustainable connectivity. Covering the protocol design in the physical, MAC, and network layers permits the highlighting of cross-layer optimisation IoT ecosystems in 6G and the focused attention IoT research lacks, supporting bold, environmentally sustainable infrastructure designs.

International Journal of Engineering Science and Information TechnologyVol. 5(1)
Jain University (IN), Siksha O Anusandhan University (IN), Advanced Numerical Research and Analysis Group (IN), University Of Information Technology (MM), Skill (Czechia) (CZ), Sathyabama Institute of Science and Technology (IN), Chitkara University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 7%
Geochemistry and Geologic Mapping
2.48
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Energy-Efficient Protocols for Massive IOT Connectivity in 6G Networks · International Journal of Engineering Science and Information Technology (2025) | TGRS Research Map | TGRS