335 citations · 698 across the 43 of their papers we have counts for
16 papers · 1 filter
SemDHT: Certified Semantic Discovery for Peer-to-Peer Agent Networks over Exact-Key DHTs
Taotao Wang, Chonghe Zhao, Shengli Zhang +1
Agents may need capabilities exposed through external agent endpoints or service APIs. When a requester is not already bound to a provider, it must discover advertised capabilities…
Agent-OSI: An Interoperability Architecture for Communication and Settlement in the Decentralized Internet of Agents
Wenxin Xu, Taotao Wang, Yihan Xia +2
Large Language Models (LLMs) are accelerating the shift from an Internet of information to an Internet of Agents (IoA), where autonomous entities discover services, negotiate, exec…
Implementing NAT Hole Punching with QUIC
Jinyu Liang, Wei Xu, Taotao Wang +2
The widespread adoption of Network Address Translation (NAT) technology has led to a significant number of network end nodes being located in private networks behind NAT devices, i…
A deep-learning-based MAC for integrating channel access, rate adaptation and channel switch
Jiantao Xin, Wei Xu, Bin Cao +2
With increasing density and heterogeneity in unlicensed wireless networks, traditional MAC protocols, such as carrier-sense multiple access with collision avoidance (CSMA/CA) in Wi…
Decentralized Physical Infrastructure Network (DePIN): Challenges and Opportunities
Zhibin Lin, Taotao Wang, Long Shi +2
The widespread use of the Internet has posed challenges to existing centralized physical infrastructure networks. Issues such as data privacy risks, service disruptions, and substa…
DEthna: Accurate Ethereum Network Topology Discovery with Marked Transactions
Chonghe Zhao, Yipeng Zhou, Shengli Zhang +3
In Ethereum, the ledger exchanges messages along an underlying Peer-to-Peer (P2P) network to reach consistency. Understanding the underlying network topology of Ethereum is crucial…
HCB: Enabling Compact Block in Ethereum Network with Secondary Pool and Transaction Prediction
Chonghe Zhao, Taotao Wang, Shengli Zhang +1
Compact block, which replaces transactions in the block with their hashes, is an effective means to speed up block propagation in the Bitcoin network. The compact block mechanism i…
Bodyless Block Propagation: TPS Fully Scalable Blockchain with Pre-Validation
Chonghe Zhao, Shengli Zhang, Taotao Wang +1
Despite numerous prior attempts to boost transaction per second (TPS) of blockchain systems, many sacrifice decentralization and security. This paper proposes a bodyless block prop…
Speeding up Block Propagation in Blockchain Network: Uncoded and Coded Designs
Lihao Zhang, Taotao Wang, Soung Chang Liew
We design and validate new block propagation protocols for the peer-to-peer (P2P) network of the Bitcoin blockchain. Despite its strong protection for security and privacy, the cur…
Ethna: Analyzing the Underlying Peer-to-Peer Network of the Ethereum Blockchain
Taotao Wang, Chonghe Zhao, Qing Yang +2
The peer-to-peer (P2P) network of blockchain used to transport its transactions and blocks has a high impact on the efficiency and security of the system. The P2P network topologie…
When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm
Chuan Ma, Jun Li, Ming Ding +4
Motivated by the explosive computing capabilities at end user equipments, as well as the growing privacy concerns over sharing sensitive raw data, a new machine learning paradigm,…
Multi-Agent Deep Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks with Imperfect Channels
Yiding Yu, Soung Chang Liew, Taotao Wang
This paper investigates a futuristic spectrum sharing paradigm for heterogeneous wireless networks with imperfect channels. In the heterogeneous networks, multiple wireless network…
Non-Uniform Time-Step Deep Q-Network for Carrier-Sense Multiple Access in Heterogeneous Wireless Networks
Yiding Yu, Soung Chang Liew, Taotao Wang
This paper investigates a new class of carrier-sense multiple access (CSMA) protocols that employ deep reinforcement learning (DRL) techniques, referred to as carrier-sense deep-re…
Carrier-Sense Multiple Access for Heterogeneous Wireless Networks Using Deep Reinforcement Learning
Yiding Yu, Soung Chang Liew, Taotao Wang
This paper investigates a new class of carrier-sense multiple access (CSMA) protocols that employ deep reinforcement learning (DRL) techniques for heterogeneous wireless networking…
Deep-Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks
Yiding Yu, Taotao Wang, Soung Chang Liew
This paper investigates the use of deep reinforcement learning (DRL) in a MAC protocol for heterogeneous wireless networking referred to as Deep-reinforcement Learning Multiple Acc…
Implementation of Physical-layer Network Coding
Lu Lu, Taotao Wang, Soung Chang Liew +1
This paper presents the first implementation of a two-way relay network based on the principle of physical-layer network coding. To date, only a simplified version of physical-laye…