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首页> 外文期刊>IEEE communications letters >Enabling Collaborative Data Uploading in Body-to-Body Networks
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Enabling Collaborative Data Uploading in Body-to-Body Networks

机译：在Body-Body Network中启用协作数据

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摘要

In body-to-body networks (BBNs), a group of closely located wireless body area network (WBAN) users aggregates their network resources to improve the overall physiological data uploading performances. This enables users with the poor Internet connection, i.e., requesting users, to upload their data through their nearby WBAN users with a good Internet connection, i.e., gateway users. In this letter, we investigate the data uploading problem for BBN, where the requesting users incentivize the gateway users for data uploading. However, since the gateway users incur an additional cost (energy and Internet access cost) for uploading data, and they are heterogeneous in terms of their cost, it is more challenging to design the incentive scheme for them. To address this, we formulate a Stackelberg game, where the requesting users as leaders propose the prices, and the gateway users as followers decide the amount of requesting users' data they would upload. We prove the existence of Stackelberg equilibrium (SE) of the game using backward induction. Finally, the numerical results validate the effectiveness of the proposed incentive mechanism.
机译：在身体到身体网络（BBNS）中，一组紧密的无线体积网络（WBAN）用户聚合其网络资源以改善整体生理数据上传性能。这使用户能够使用互联网连接差，即请求用户，通过附近的WAN用户使用良好的Internet连接，即网关用户将其数据上传。在这封信中，我们调查了BBN的数据上传问题，其中请求用户激励网关用户进行数据上传。然而，由于网关用户产生了额外的成本（能量和互联网接入成本）来上传数据，并且在其成本方面是异构的，因此设计为它们的激励方案更具挑战性。为了解决这个问题，我们制定了一个Stackelberg游戏，在那里请求用户作为领导者提出价格，而网关用户作为追随者决定他们将上传的用户数据的数量决定。我们证明了使用后向感应的游戏的Stackelberg均衡（SE）的存在。最后，数值结果验证了拟议的激励机制的有效性。

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