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Spass: Spectrum Sensing as a Service via Smart Contracts

机译:SPASS:通过智能合同作为服务的频谱感应

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Mobile network operators can expand their capacity by aggregating their licensed spectrum with the spectrum discovered opportunistically, i.e., spatiotemporally unused spectrum by other primary users. For an accurate identification of the spectral opportunities, the mobile network has to deploy multiple sensors or it can offload this task to nearby nodes with sensing capabilities, so called helpers. Unfortunately, incentives are limited for helpers to perform energy-wasteful spectrum sensing. Instead, we envision spectrum sensing as a service (Spass) in which a smart contract running on a blockchain (BC) describes the required sensing service parameters and the contracted helpers receive payments only if they perform sensing accurately as agreed in the contract. In this paper, we first introduce Spass and derive a closed formula defining the profitability of a Spass-based business as a function of the spectral efficiency, cost of helpers, and cost of the service. Moreover, we propose two-threshold based voting (TTBV) algorithm to ensure that the fraudulent helpers are excluded from Spass. Via numerical analysis, we show that TTBV causes almost zero false alarms and can exclude malicious users from the contract after only a few iterations. Finally, we develop a running prototype of Spass on Ethereum BC and share the related source code on a publicly-available repository.
机译:移动网络运营商可以通过将其许可的频谱聚合在机会上发现的频谱,即其他主要用户的时尚未使用的光谱来扩展其能力。为了准确识别光谱机会,移动网络必须部署多个传感器,或者它可以将此任务卸载到具有传感功能的附近节点,所以称为expers。遗憾的是,对于执行能量浪费的频谱感测的助手有限。相反,我们设想频谱感测作为服务(SPASS),其中在区块链(BC)上运行的智能合同描述了所需的传感服务参数,并且只有在合同中准确地执行感应时,才能获得付款。在本文中,我们首先引入乳斑并导出封闭式公式,定义基于乳斑的业务的盈利能力,作为频谱效率,助手成本和服务的成本的函数。此外,我们提出了两阈值的基于阈值的投票(TTBV)算法,以确保欺诈性助手被排除在味道之外。通过数值分析,我们表明TTBV几乎导致零零误报,并且只有几个迭代后可以从合同中排除恶意用户。最后,我们在Ethereum BC上开发了一个在斯派斯的纺饰,并在公开的存储库上共享相关源代码。

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