Towards a Connected Future Quantum-Secure, Swarm-Intelligent, IRS-Assisted Ambient IoT Networks for 6G
The 6G generation of wireless networks will be seen as ultra-fast, ultra-reliable and ultra-scalable systems capable of supporting billions of connected devices. Nevertheless, safe communication, energy, and network management in this complicated setting is still a challenge. In this paper, an innovative structure is suggested to support Quantum-Secure, Swarm-Intelligent, IRS-Assisted Ambient IoT Networks to overcome these challenges in 6G settings. The architecture has combined Quantum Key Distribution (QKD) as a means of secure communication, swarm intelligence as a means of decentralized coordination and Intelligent Reflecting Surfaces (IRS) as a means of optimal signal propagation. Through the integration of these innovative technologies, the network will become more resilient to quantum-based attacks, efficiently distributed resources by acting jointly as a node, and enhances the quality of communication by optimizing IRS. A hybrid approach to energy harvesting and management is included in our methodology, which guarantees sustainable operation in changing environments. As indicated by the results of the simulation, key performance metrics, such as energy efficiency, swarm collaboration and security robustness are greatly improved. It is worth noting that the network has better coverage, task allocation, and self-healing than traditional IoT systems. The future of 6G IoT networks is promising with the proposed approach as it can offer a scalable, secure, and energy-efficient solution to fulfill the challenging demands of next-generation wireless technologies. The offered solution can potentially drive the future of 6G IoT networks as a scalable, secure and energy-efficient solution that can support the high-pressure demands of next-generation wireless systems.
Authors
- Mst Jannatul Kobra (ORCID: https://orcid.org/0000-0001-6615-6559)
- Md Zakir Hossain (ORCID: https://orcid.org/0000-0003-1892-831X)
- Md Owahedur Rahman (ORCID: https://orcid.org/0000-0001-6912-2637)
Publication Details
- Journal
- Middle East Research Journal of Engineering and Technology
- Published
- 2025-10-11
- DOI
- https://doi.org/10.36348/merjet.2025.v05i05.002
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00