A survey of blockchain, artificial intelligence, and edge computing for Web 3.0

Abstract

Web 3.0, as the third generation of the World Wide Web, aims to solve contemporary problems of trust, centralization, and data ownership. Driven by the latest advances in cutting-edge technologies, Web 3.0 is moving towards a more open, decentralized, intelligent, and interconnected network. Currently, increasingly widespread data breaches have raised awareness of online privacy and security of personal data. Additionally, since Web 3.0 is a complex integration, the technical details are not as clear as the characteristics it presents. In this survey, we conduct an in-depth exploration of Web 3.0 from the perspectives of blockchain, artificial intelligence, and edge computing. The methodology includes a comprehensive literature review, using specific keywords to identify relevant studies and applying strict inclusion and exclusion criteria to ensure a focus on high-quality literature. The main contributions include identifying the key challenges of Web 3.0, examining the fundamental role of each underlying technology, and surveying state-of-the-art practical applications within this ecosystem. Moreover, we introduce an innovative decentralized storage solution that facilitates secure communication and data processing without relying on centralized servers. We also introduce a novel decentralized computing solution that enhances the capabilities of Web 3.0 by enabling edge devices to perform data analysis locally, reducing dependence on traditional centralized servers. Finally, we highlight key challenges and potential research directions. Through the combination and mutual complementation of multiple technologies, Web 3.0 is expected to give users more control and ownership of data and digital assets.