1 A Unified Blockchain-Semantic Framework for Wireless Edge Intelligence Enabled Web 3.0

2025-04-30
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A Unified Blockchain-Semantic Framework for
Wireless Edge Intelligence Enabled Web 3.0
Yijing Lin, Zhipeng Gao*, Hongyang Du, Dusit Niyato, Jiawen Kang, Ruilong Deng, Xuemin Sherman Shen
Abstract—Web 3.0 enables user-generated contents and user-
selected authorities. With decentralized wireless edge computing
architectures, Web 3.0 allows users to read, write, and own con-
tents. A core technology that enables Web 3.0 goals is blockchain,
which provides security services by recording content in a
decentralized and transparent manner. However, the explosion of
on-chain recorded contents and the fast-growing number of users
cause increasingly unaffordable computing and storage resource
consumption. A promising paradigm is to analyze the semantic
information of contents that can convey precisely the desired
meanings without consuming many resources. In this article,
we propose a unified blockchain-semantic ecosystems framework
for wireless edge intelligence-enabled Web 3.0. Our framework
consists of six key components to exchange semantic demands.
We then introduce an Oracle-based proof of semantic mechanism
to implement on-chain and off-chain interactions of Web 3.0
ecosystems on semantic verification algorithms while maintaining
service security. An adaptive Deep Reinforcement Learning-based
sharding mechanism on Oracle is designed to improve interaction
efficiency, which can facilitate Web 3.0 ecosystems to deal with
varied semantic demands. Finally, a case study is presented
to show that the proposed framework can dynamically adjust
Oracle settings according to varied semantic demands.
Index Terms—Web 3.0, Blockchain, Semantic Ecosystems,
Proof of Semantic, Adaptive Oracle
I. INTRODUCTION
THE Web has become an inseparable part of human lives
around the world since the unprecedented evolution of
wireless communication technologies from 4G, 5G to 6G.
There are three iterations of the Web, which are classified as
Web 1.0, Web 2.0, and Web 3.0. Web 1.0 was created by Tim
Berners-Lee in 1989 to construct information networks and
provide users with static resources to read through centralized
architectures. The current web, i.e., Web 2.0, is a term coined
by Tim O’Reilly in 2007 [1], which enables users to read
and write dynamic contents through distributed architectures
to form social networks. Recently, Web 3.0 is becoming a
promising concept as the next generation of information in-
frastructures due to the development of cutting-edge technolo-
gies, e.g., blockchain, semantic communication, and wireless
edge computing. Rather than implementing computation and
Corresponding author: Zhipeng Gao (e-mail: gaozhipeng@bupt.edu.cn).
Yijing Lin and Zhipeng Gao are with the State Key Laboratory of Net-
working and Switching Technology, Beijing University of Posts and Telecom-
munications, China. Hongyang Du and Dusit Niyato are with the School
of Computer Science and Engineering, Nanyang Technological University,
Singapore. Jiawen Kang is with the School of Automation, Guangdong
University of Technology, China. Ruilong Deng is with the College of Control
Science and Engineering, Zhejiang University, China. Xuemin Sherman Shen
is with the Department of Electrical and Computer Engineering, University
of Waterloo, Canada
data storage in centralized data centers, Web 3.0 leverages
decentralized wireless edge computing architectures to offload
compute and storage capacity to the wireless edge side close to
users. More importantly, it permits users to read, write and own
contents, e.g., text, image, and video, through decentralized
wireless edge computing architectures to build a smarter and
more socially, economically connected society.
Secure data storage and efficient information interaction
have always been the focus of Web researches. To ensure
the first goal, i.e., data security, Blockchain-based Web 3.0
was proposed by Ethereum co-founder Gavin Wood in 2014
[2], which makes extensive use of blockchain ecosystems to
achieve user-generated contents and user-selected authorities.
Specifically, unlike the current Web 2.0 where content is
controlled by tech giants without users’ involvement and per-
mission, Web 3.0 uses blockchain to record on-chain content
in a decentralized, transparent, and traceable manner. By now,
both academia and industries have agreed that Web 3.0 should
be enabled by blockchain to guarantee transparency, security,
and efficiency. As the new generation of Internet applications
continues to emerge, i.e., Metaverse, users can access Web
3.0 services through a virtual avatar provided by Metaverse.
With the help of the integration of new technologies, Web
3.0 can secure data information without the intervention of
third parties [3]. However, significant computing and storage
resources are consumed to record the content. Information
overload on Web 3.0 takes up too many resources on wireless
edge devices and limits the number of devices covered by the
Web 3.0 network.
The recent vigorous development of semantic communi-
cation has brought potential solutions to this problem and
achieved the second goal of Web 3.0 systems, i.e., efficient
information interaction. By analyzing the semantics of the
content rather than the original raw data, the system can run
more efficiently without affecting the completion of various
service tasks. The data of wireless edge devices can be reduced
to 2.5% by semantic communication compared with traditional
methods to enable efficient information exchange [4]. Users
can also use and appreciate the semantic information and its
services more directly and effectively.
The analysis of content semantics in Web 3.0 can be
traced back to 2001 when the World Wide Web inventor Tim
Berners-Lee proposed Semantic Web 3.0 [5]. Machine learning
and artificial intelligence technologies are used to customize
semantic demands. Specifically, the application of semantic
mechanisms in Web 3.0 can bring the following benefits:
•A proof of semantic mechanism can avoid user informa-
tion overload and reduce network resource consumption.
arXiv:2210.15130v1 [cs.CR] 27 Oct 2022
2
•The content security can be further enhanced by verifying
the semantics of the content.
•The efficiency of information interaction can be improved
and the goal-oriented communication can be achieved,
which reduces the latency and achieves the variety of
Web 3.0 services.
Therefore, Web 3.0 is expected to convey the semantics
of contents in decentralized wireless edge computing ar-
chitectures, and connect blockchain and off-chain semantic
ecosystems. However, even with the above benefits, the design
of a blockchain-semantic ecosystem faces many difficulties.
On the one hand, it is difficult for wireless edge devices
to process and exchange extensive semantic information in
the blockchain. The reason is that blockchain cannot invoke
actively off-chain contents to achieve a consensus. Moreover,
since on-chain resources are limited and expensive, semantic
extraction algorithms cannot be executed by miners through
smart contracts. These limitations cause insecure services on
on-chain and off-chain interactions. On the other hand, a well-
designed semantic verification mechanism can reduce addi-
tional network resource consumption in transmitting irrelative
contents to consumers. The data exploration in the Web 3.0 era
further challenges the performance of decentralized wireless
edge computing architectures.
To solve the aforementioned problems, we are the first to
propose a unified blockchain-semantic ecosystems framework
for wireless edge intelligence-enabled Web 3.0. The frame-
work contains six key components to consider the content
semantics, and exploit Oracle to integrate blockchain and off-
chain semantic ecosystems. Our contributions are summarized
as follows:
•To capitalize on the great benefits of semantic commu-
nication, we propose a unified blockchain and semantic
ecosystems framework for wireless edge intelligence-
enabled Web 3.0. To the best of our knowledge, this
is the first work on wireless edge-intelligence enabled
Web 3.0. We believe that this is a timely study, as the
blockchain and semantic ecosystems are widely used in
many scenarios, like Metaverse.
•To maintain service security, we design an Oracle-based
proof of semantic mechanism to implement on-chain
and off-chain interactions and transfer on-chain semantic
verification algorithms to off-chain Oracle for reaching
a consensus on semantic information in loosely trusted
environments.
•To improve interaction efficiency, we establish an adap-
tive DRL-based sharding mechanism for verifiers of Or-
acle to cater varied semantic demands in dynamic Web
3.0 environments.
II. WIRELESS EDGE INTELLIGENCE-ENABLED WEB 3.0
In this section, we first introduce technologies and applica-
tions related to Web 3.0. We then discuss how wireless edge
intelligence enables Web 3.0. Finally, we demonstrate Web
3.0 research gaps as our motivation for designing the unified
blockchain-semantic ecosystems framework.
A. Introduction of Web 3.0
From read-only Web 1.0 information networks and read-
write Web 2.0 platform networks, Web 3.0 promises to be
read-write-execute value networks [6] based on blockchain,
semantic ecosystems, and wireless edge computing, which can
achieve user-generated content and user-selected authorities.
Blockchain is widely considered to be a modern usage of
Web 3.0 to provide a decentralized way to develop an open
and transparent web experience for users. Besides, semantic
ecosystems that can combine with other information infras-
tructures, like AI and 6G, provide a data-driven way to
develop an intelligent and connected web experience for users.
Moreover, wireless edge computing provides an efficient way
to process data at the wireless network edge on devices for
users, since intelligent devices permit the core network to
decentralize computing and storage capabilities to the wireless
edge to reduce the load. Current Web 3.0 mainly focuses on
blockchain-enabled applications, including DIDs, DeFi, DAM,
and Metaverse.
Decentralized Identifiers (DIDs): Web 3.0 enables data
owners to maintain of the contents that they produced, and
DIDs facilitate users of Web 3.0 to control information and
privacy around themselves instead of storing entirely on cen-
tralized and propriety databases controlled by tech giants.
DIDs are the cornerstone of other Web 3.0 technologies,
like DeFi, DAM, and Metaverse, to exchange securely signed
information in a user-centric and user-controlled way.
Decentralized Finance (DeFi): Web 3.0 supported by
blockchain is used to create digital economies for traditional
economies through tokenization, which reshapes the financial
business. DeFi products and services are developed through
smart contracts on blockchain to enable anyone more con-
trol to access and trade products and services through self-
controlled wallets regardless of who or where they are.
Digital Asset Management (DAM): User-generated con-
tents and authorities of Web 3.0 are digital assets, like cryp-
tocurrency, non-fungible tokens, virtual real estate, and user
avatars. DAM allows users to create, own, access, trade, and
destroy their digital assets. In addition, governments can also
benefit from DAM of Web 3.0 to reduce transaction costs in
regulation.
Metaverse: User-centric perspectives of Web 3.0 facilitate
users to immerse themselves in the world constructed by
Metaverse and serve as the basis for connectivity of Metaverse,
which is supported by blockchain, wireless edge computing,
and interactive technologies.
B. Wireless Edge Intelligence-Enabled Web 3.0
To the best of our knowledge, relatively few work consid-
ered the integration of blockchain and semantic communica-
tion to implement wireless edge intelligence-enabled Web 3.0.
The literature on Web 3.0 can be classified as blockchain Web
3.0 and semantic Web 3.0. A comparison between our paper
and the related papers in the literature is shown in Table I.
Blockchain Web 3.0 is based on blockchain ecosystems
to achieve Web 3.0 in a decentralized way. Researchers focus
on different core layers of blockchain to facilitate Web 3.0.
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