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.
Institutions
- 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)
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