Blockchain-Enhanced Time-Variant Mean Field-Optimized Dynamic Computation Sharing in Mobile Network

【Author】 Bai, Fenhua; Shen, Tao; Yu, Zhuo; Song, Jian; Gong, Bei; Waqas, Muhammad; Alasmary, Hisham

【Source】IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

【影响因子】8.346

【Abstract】Although 5G and beyond communication technology empower a large number of edge heterogeneous devices and applications, the stringent security remains a major concern when dealing with the millions of edge computing tasks in the highly dynamic heterogeneous networks (HDHNs). Blockchains contribute significantly to addressing security challenges by guaranteeing the reliability of data and information. Since the node's mobility, there are risks of exiting the network and leaving the remaining tasks noncomputed. Therefore, we model the cost function of offloaded computing tasks as a dynamic stochastic game. To reduce the computational complexity, the Time-Variant Mean-Field term (TVMF) is adopted to solve the cost-optimized problem. What's more, we design an Adaptivity-Aware Practical byzantine fault tolerance consensus Protocol (AAPP) to dynamically formulate domains, execute leader node selection with regard to task completion and quickly verify computational results. In addition, a Dynamic Multi-domain Fractional Repetition uncoded repair storage (DMFR) scheme with variant redundancy is proposed to reduce the storage pressure and repair overhead. The simulation is implemented to demonstrate our scheme outperforms the benchmarks in terms of cost and time overhead.

【Keywords】Task analysis; Games; Wireless communication; Mobile handsets; Maintenance engineering; Dynamic scheduling; Costs; Dynamic networks; tasks offload; blockchains; mean-field game; fractional repetition code

【发表时间】2024 SEP

【收录时间】2024-09-24

【文献类型】实验仿真

【主题类别】

区块链技术-核心技术-共识机制