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Fair and Protected Profit Sharing for Data Trading in Pervasive Edge Computing Environments

机译:普遍边缘计算环境中数据交易的公平和受保护的利润分享

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Innovative edge devices (e.g., smartphones, IoT devices) are becoming much more pervasive in our daily lives. With powerful sensing and computing capabilities, users can generate massive amounts of data. A new business model has emerged where data producers can sell their data to consumers directly to make money. However, how to protect the profit of the data producer from rogue consumers that may resell without authorization remains challenging. In this paper, we propose a smart-contract based protocol to protect the profit of the data producer while allowing consumers to resell the data legitimately. The protocol ensures the revenue is shared with the data producer over authorized reselling, and detects any unauthorized reselling. We formulate a fair revenue sharing problem to maximize the profit of both the data producer and resellers. We formulate the problem into a two-stage Stackelberg game and determine a ratio to share the reselling revenue between the data producer and resellers. Extensive simulations show that with resellers, our mechanism can achieve higher profit for the data producer and resellers.
机译:创新的边缘设备(例如智能手机,IoT设备)在我们的日常生活中正变得越来越普遍。凭借强大的传感和计算功能,用户可以生成大量数据。一种新的商业模式已经出现,数据生产者可以将其数据直接出售给消费者以赚钱。但是,如何保护数据生产者的利益免受可能未经授权转售的流氓消费者的挑战,仍然是一个挑战。在本文中,我们提出了一种基于智能合约的协议,以保护数据生产者的利益,同时允许消费者合法地转售数据。该协议确保通过授权转售与数据生产者共享收入,并检测任何未经授权的转售。我们制定了公平的收益共享问题,以最大程度地提高数据产生者和经销商的利润。我们将该问题公式化为一个两阶段的Stackelberg游戏,并确定一个比率,以在数据生产者和代理商之间分享代理商的收益。大量的模拟表明,对于代理商而言,我们的机制可以为数据产生者和代理商带来更高的利润。

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