Intelligent Holographic Computing Fusion Network for IoT Consumer Technology

With the rapid evolution of holographic technology, its integration into IoT-based consumer electronics is revolutionizing user experiences in areas such as smart entertainment systems, immersive education platforms, and remote healthcare solutions. However, existing network resource scheduling approaches fall short of meeting the stringent requirements of holographic communication, which demands ultra-high bandwidth, low latency, and synchronized data transmission. To address these challenges, this paper introduces an intelligent computing-integrated network architecture tailored for consumer electronics, leveraging in-network computing to dynamically process and optimize data during transmission. We propose a novel identification mapping framework based on service, resource chain, network function, and network component identifiers to enable adaptive and efficient scheduling of holographic services across heterogeneous resources, including compute, storage, and forwarding elements. Building on this, an intelligent computing-integrated network system is developed to support seamless holographic communication in IoT consumer electronics. Experimental evaluations reveal that the proposed system reduces network bandwidth consumption by up to 60% and transmission latency by 45%, outperforming conventional edge computing approaches and significantly enhancing the responsiveness and efficiency of consumer electronic devices.