Resilient Ai-driven Communication Frameworks for Next-generation Ict Infrastructure in Smart and Connected Societies: a Focus on Privacy-preserving, Energy-aware, and Latency-optimized Architecture Integrating 6g, Edge Intelligence, and Context-aware Networking
Year: 2025
Type: article
Abstract: This paper presents a novel communication framework aimed at enhancing the resilience and intelligence of next-generation ICT infrastructures in smart and connected societies. Leveraging advancements in 6G, Edge AI, and context-aware networking, the proposed architecture is designed to optimize energy consumption, ensure low latency, and enforce robust privacy-preserving mechanisms. The integration of these technologies addresses the critical challenges faced in dynamic, data-intensive environments such as smart cities, healthcare, and autonomous transport systems. Our design incorporates adaptive AI decision-making modules, energy-aware task offloading, and federated learning at the network edge to mitigate risks of centralized data breaches and latency spikes. Performance evaluation demonstrates a 30% improvement in energy efficiency and a 40% reduction in transmission delay.
Author: Researcher
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930910054
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