Optimizing mobile blockchain networks: A game theoretical approach to cooperative multi-terminal computation

Facing the computational challenges in mobile devices within blockchain networks, particularly the scarcity and underutilization of computational resources, this paper introduces the CAGE Framework: a novel architecture based on cooperative game theory within alliance blockchains. Designed to optimize computational resource allocation across multiple mobile terminals, CAGE Framework leverages a tri-layer structure – comprising the Blockchain Network Layer, User Network Layer, and Distributed Collaborative Computing Layer – to facilitate efficient resource sharing and task scheduling. Through intelligent contracts, the framework automatically aggregates user demands, utilizing the InterPlanetary File System (IPFS) for data storage, thereby enhancing privacy protection and blockchain data throughput. Validated on the Hyperledger Fabric platform and benchmarked against state-of-the-art approaches, CAGE demonstrates superior transaction throughput, reduced latency, and enhanced resource efficiency. The core strategy, dubbed CAGE, is predicated on cooperative gaming, aiming to maximize user satisfaction by balancing energy consumption, computational load, and resource allocation multi-objectively. Experiments reveal a notable improvement in system load balancing (by 51%) and a significant reduction in energy consumption (by 62%), affirming the framework’s efficacy in addressing computational resource deficiencies both within and outside the alliance under low energy and balanced load conditions. The CAGE Framework not only charts a new path for computational resource optimization in mobile blockchain networks but also lays a theoretical and practical foundation for the furtherance of blockchain technology application and optimization.