基于拍卖的物联网搜索数据提供机制

Data provision for IoT searches: an auction approach

不同于互联网搜索采用爬虫等技术来采集数据,物联网搜索获取数据的主要方式之一是数据拥有者主动提供数据,然而自私性及隐私保护等原因导致数据拥有者不愿主动提供数据。这使得如何有效激励数据拥有者提供数据成为促进物联网搜索发展的关键问题之一。由于竞价拍卖能有效激励参与合作,因此将竞价博弈引入到物联网搜索中,为物联网搜索中的数据采集提供方法。具体地,提出了面向性价比最优的多属性逆向拍卖激励机制,证明了最优数据质量独立于自身报价、其他竞拍者的数据质量及其报价。

Getting accurate data was one of keys problems in the Io Ts search. Different from the Web searches that use the crawlers to collect data on the Internet, the Io T searches require that owners offer data proactively because their data were not simply released to the Internet. However, due to some reasons（privacy concerns）, data owners were unwilling to provide their data to the Io T searches without enough incentives. As a result, effectively motivating owners to provided data becomes a key problem for he development of Io T searches. To address this problem, a multi-attribute auction that maximizes cost-effectiveness ratio was proposed. This mechanism can prevent hostile bids and avoid the problem that the winner provide data inconsistent with the promised quality. It was also proved that in the auction, the optimal quality was independent from its quotation and other bidders＇ quality and their price.