A Survey of Blockchain, Artificial Intelligence, and Edge Computing for Web 3.0
It addresses the need for clarity and solutions in Web 3.0 development for researchers and practitioners, but it is incremental as it synthesizes existing technologies rather than introducing new methods.
This survey tackles the problem of understanding and advancing Web 3.0 by exploring the integration of blockchain, AI, and edge computing to address trust, centralization, and data ownership issues, with the result of proposing decentralized storage and computing solutions and highlighting challenges and research directions.
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. However, increasingly widespread data breaches have raised awareness of online privacy and security of personal data. Additionally, since Web 3.0 is a sophisticated and complex convergence, the technical details behind it 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. Specifically, we begin with summarizing the evolution of the Internet and providing an overview of these three key technological factors. Afterward, we provide a thorough analysis of each technology separately, including its relevance to Web 3.0, key technology components, and practical applications. We also propose decentralized storage and computing solutions by exploring the integration of technologies. Finally, we highlight the key challenges alongside potential research directions. Through the combination and mutual complementation of multiple technologies, Web 3.0 is expected to return more control and ownership of data and digital assets back to users.