Current internet infrastructure relies on centralized routing, static bandwidth allocation, and conventional electronic transmission, creating systemic congestion, energy inefficiency, and connectivity gaps affecting billions of people. This paper proposes ULISI, the Ultra-Light, Invisible, and Self-Optimizing Internet, a five-layer theoretical framework that reconceives network architecture by integrating cognitive neural encoding, swarm-driven physical data transport, entropy-based compression, quantum-inspired routing optimization, and biological networking substrates. Each layer addresses a specific structural limitation of conventional internet design. Together, they form a unified architecture capable of transmitting meaningful information with a fraction of current bandwidth requirements, maintaining connectivity in infrastructure-poor environments, and adapting continuously without centralized coordination. This paper presents the theoretical foundations, architectural design, potential applications, ethical framework, and research roadmap for ULISI.
T Khalil Kaddachi (Fri,) studied this question.
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