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<p>With the deepening development of marine fishery resources, various aquaculture wireless devices are rapidly deployed, involving multiple applications such as marine environment monitoring, biological state detection, and equipment operation supervision. However, the efficient operation of wireless devices requires the support of the quality of service (QoS) of network, while massive data information may lead to the overloading of computational tasks in localized areas of the marine ranching networks. To solve this problem, based on the edge computing paradigm, a set of edge computing scenarios with nearshore edge computing centers (NECCs), unmanned surface vessels (USVs), and marine ranching bases (MRBs) are taken into&#xa0;consideration, and a layered offloading strategy for marine ranching networks based on the Stackelberg game is proposed from the perspectives of latency, energy consumption, and system welfare. Aiming at the subjective willingness of each layer of roles in the hierarchical interactive offloading architecture of the marine ranching network, a hierarchical game model based on the resource pricing mechanism is constructed by transforming the resource demand and pricing problem into the problem of maximizing the revenue of edge servers and minimizing the payment cost of terminal devices. Moreover, in order to maintain the timely processing of terminal tasks, an oriented equilibrium pricing offloading algorithm based on the Stackelberg game is proposed to optimize the allocation of computing and communication resources under energy-constrained and delay-sensitive conditions. Simulation results show that this algorithm grows 47% and 69% compared to the Fixed-price scheme Linear-price scheme, which is significantly superior and robust compared to the benchmark strategy.</p>

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Empowering marine ranching networks: a study on resource allocation and pricing strategy for multi-unmanned surface vessels-assisted edge computing

  • 期刊论文

  • 发表日期：

    2025年9月3日

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  • Nan Wang,
  • Yan Wang,
  • Teng Gao,
  • Fanyang Bu,
  • Xiqian Zhu

摘要

With the deepening development of marine fishery resources, various aquaculture wireless devices are rapidly deployed, involving multiple applications such as marine environment monitoring, biological state detection, and equipment operation supervision. However, the efficient operation of wireless devices requires the support of the quality of service (QoS) of network, while massive data information may lead to the overloading of computational tasks in localized areas of the marine ranching networks. To solve this problem, based on the edge computing paradigm, a set of edge computing scenarios with nearshore edge computing centers (NECCs), unmanned surface vessels (USVs), and marine ranching bases (MRBs) are taken into consideration, and a layered offloading strategy for marine ranching networks based on the Stackelberg game is proposed from the perspectives of latency, energy consumption, and system welfare. Aiming at the subjective willingness of each layer of roles in the hierarchical interactive offloading architecture of the marine ranching network, a hierarchical game model based on the resource pricing mechanism is constructed by transforming the resource demand and pricing problem into the problem of maximizing the revenue of edge servers and minimizing the payment cost of terminal devices. Moreover, in order to maintain the timely processing of terminal tasks, an oriented equilibrium pricing offloading algorithm based on the Stackelberg game is proposed to optimize the allocation of computing and communication resources under energy-constrained and delay-sensitive conditions. Simulation results show that this algorithm grows 47% and 69% compared to the Fixed-price scheme Linear-price scheme, which is significantly superior and robust compared to the benchmark strategy.