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作 者:王健[1] 黄越 赵国生[2] 赵中楠[1] WANG Jian;HUANG Yue;ZHAO Guosheng;ZHAO Zhongnan(School of Computer Science and Technology, Harbin University of Science andTechnology, Harbin 150080, China;School of Computer Science and Information Engineering, Harbin Normal University, Harbin 150025, China)
机构地区:[1]哈尔滨理工大学计算机科学与技术学院,哈尔滨150080 [2]哈尔滨师范大学计算机科学与信息工程学院,哈尔滨150025
出 处:《电子与信息学报》2019年第6期1503-1509,共7页Journal of Electronics & Information Technology
基 金:国家自然科学基金(61403109,61202458);高等学校博士学科点专项科研基金(20112303120007);黑龙江省自然科学基金(F2017021);黑龙江省教育厅科研基金(12541169);哈尔滨市科技创新人才研究专项资金(2016RAQXJ036)~~
摘 要:针对感知任务参与者数量不足和提供数据质量不高的问题,该文提出一种面向任务代价差异的移动群智感知激励模型。首先,利用模糊推理方法分析数据量、环境条件及设备消耗对任务代价的影响,将感知任务按照代价差异划分为不同等级,同时为请求者制定预算并给予参与者合适的报酬。其次,通过信誉度评估和参与者优选将感知任务分配给更合适的参与者完成感知任务并上传感知数据。最后,对参与者上传感知数据评估,更新参与者信誉度,并根据参与者完成感知任务的代价等级支付相应报酬。基于真实数据集的仿真实验结果表明,该模型能够利用各个模块间的相互影响,有效招募更多的用户参与感知任务并促进参与者上传高质量的感知数据。To solve the problem of insufficient number of participants and poor data quality in the sensing mission, a mobile crowd sensing incentive model for mission cost difference is proposed. First of all, the fuzzy reasoning method is used to analyze the impact of data quantity, environmental conditions and equipment consumption on mission cost, and the sensing mission is divided into different levels on the basis of cost difference. Meanwhile, the method is used to prepare a budget for the requester and give the participant an appropriate reward. Then, the sensing mission is assigned to more appropriate participants to complete the sensing mission and upload the sensing data through credibility assessment and participants’ preference. Finally, the sensing data uploaded by participants is evaluated, and the credibility of participants is updated. Besides, the participants are paid according to the cost level of perceived missions. The simulation experiments based on the real data set show that the model can recruit more users to participate in the sensing mission effectively and promote participants to upload high-quality sensing data by using the mutual influence between different modules.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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