Adaptive Resource Scheduling in Permissionless Sharded-Blockchains: A Decentralized Multiagent Deep Reinforcement Learning Approach
Author:
Affiliation:
1. Data61, CSIRO, Sydney, NSW, Australia
2. Global Big Data Technologies Centre, University of Technology Sydney, Sydney, NSW, Australia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software
Link
http://xplorestaging.ieee.org/ielx7/6221021/10286437/10201805.pdf?arnumber=10201805
Reference49 articles.
1. Automated Demand Response Framework in ELNs: Decentralized Scheduling and Smart Contract
2. Secure and Efficient Vehicle-to-Grid Energy Trading in Cyber Physical Systems: Integration of Blockchain and Edge Computing
3. Sharded Blockchain for Collaborative Computing in the Internet of Things: Combined of Dynamic Clustering and Deep Reinforcement Learning Approach
4. A novel Dual-Blockchained structure for contract-theoretic LoRa-based information systems
5. Demand–Response Games for Peer-to-Peer Energy Trading With the Hyperledger Blockchain
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