期刊
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 19, 期 9, 页码 6050-6064出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2020.2999721
关键词
Servers; Resource management; Blockchain; Task analysis; Edge computing; Wireless communication; Simulation; Mobile edge computing; auction; cross-server resource allocation; blockchain; incentive mechanism
资金
- National Natural Science Foundation of China [61771374, 61771373, 61801360, 61601357]
- Natural Science Basic Research Program of Shaanxi [2020JC-15, 2020JM-109]
- Fundamental Research Funds for the Central Universities [3102019PY005, 31020190QD040, 31020200QD010]
- Special Funds for Central Universities Construction of World-Class Universities (Disciplines) [06390-20GH020114]
- Special Development Guidance [06390-20GH020114]
- China 111 Project [B16037]
Mobile edge computing (MEC), as a promising technology, provides proximate and prompt computing service for mobile users on various applications. With appropriate incentives, profit-driven users can offload multi-task requests across heterogeneous edge servers. However, such incentive trade lacks a trustworthy platform. Due to the decentralized nature of MEC, trading information from players is easily tampered with by edge servers, which poses a threat to cross-server resource allocation. In this paper, we jointly consider incentives and cross-server resource allocation in blockchain-driven MEC, where the blockchain prevents malicious edge servers from tampering with player information by maintaining a continuous tamper-proof ledger database. Particularly, we propose two double auction mechanisms, namely a double auction mechanism based on breakeven (DAMB) and a more efficient breakeven-free double auction mechanism (BFDA), in which users request multi-task service with claimed bids and edge servers cooperate with each other to serve users. A delegated proof of stake (DPoS) based blockchain technology is leveraged to realize decentralized, untampered, safe and fair resource allocation consensus mechanism. The simulation results show that the proposed DAMB and BFDA can significantly improve the system efficiency of MEC.
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