...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Computer networks >TGBA: A two-phase group buying based auction mechanism for recruiting workers in mobile crowd sensing
【24h】

TGBA: A two-phase group buying based auction mechanism for recruiting workers in mobile crowd sensing

机译：TGBA：基于两阶段群体购买的拍卖机制，用于在移动人群感知中招聘工人

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Mobile crowd sensing (MCS) has become a promising paradigm to perceive the environment with the help of smart phones. Providing monetary rewards is an effective way to encourage smart phone users to contribute good quality data. However, the cost for long-term data collection in a wide area could be unaffordable for a MCS requester. In this paper, we enable data requesters to recruit sensing workers in a group buying way. Requesters with similar data demand can form a group to share the payment, which significantly reduces the cost. Each group has an agent, which represents all group members to compete in recruiting sensing workers. In this paper, we propose a group buying based auction mechanism for MCS, which consists of two phases. In the first phase, requesters submit their demands of sensing data and bids to their group agent, the group agent decides the winners of this group and the affordable payment collected from the winners. In the second phase, group agents attend the auction for recruiting sensing workers. If a group agent wins a worker, his group members pay the worker and obtain the demanding data. Two algorithms are proposed for each phase of TGBA. We have proved that TGBA is computationally efficient and possesses good economic properties such as individual rationality, budget balance and truthfulness, no matter whichever algorithm is chosen for the two phases. Extensive simulations are conducted, which show our proposed algorithms achieve better performance than the baseline mechanism without group buying. (C) 2018 Elsevier B.V. All rights reserved.
机译：移动人群感知（MCS）已成为借助智能手机感知环境的有希望的范例。提供金钱奖励是鼓励智能手机用户贡献高质量数据的有效方法。但是，对于MCS请求者来说，在大范围内长期收集数据的成本可能无法承受。在本文中，我们使数据请求者能够以团购方式招募传感工作者。数据需求相似的请求者可以组成一个小组共享付款，这大大降低了成本。每个小组都有一个代理，代表所有小组成员竞争招募传感工作者。在本文中，我们提出了一种基于团购的MCS拍卖机制，该机制包括两个阶段。在第一阶段，请求者将感知数据和出价的需求提交给他们的组代理，组代理决定该组的中奖者以及从中奖者那里收取的可负担的费用。在第二阶段，团体探员参加拍卖，以征募传感工人。如果组代理人赢得工人，则其组成员向工人付款并获得要求的数据。针对TGBA的每个阶段提出了两种算法。我们已经证明，无论为这两个阶段选择哪种算法，TGBA的计算效率都很高，并且具有良好的经济属性，例如个人合理性，预算平衡和真实性。进行了广泛的仿真，结果表明，与不使用团购机制的基准机制相比，我们提出的算法可实现更好的性能。 （C）2018 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号