Privacy-Aware Service Subscription in People-Centric Sensing:A Combinatorial Auction Approach

作     者：Yuanyuan Xu Shan Li Yixuan Zhang 

作者机构：Hohai UniversityNanjing211100China Nanjing University of Aeronautics and AstronauticsNanjing211106China Huawei Research Center SingaporeMetropolis Tower 2Singapore 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2019年第61卷第7期

页      面：129-139页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was partially supported by National Natural Science Foundation of China under Grant No.61801167 Natural Science Foundation of Jiangsu Province of China under Grant No.BK20160874 

主　　题：Privacy-aware service subscription combinatorial auction winner determination 

摘      要：With the emergence of ambient sensing technologies which combine mobile crowdsensing and Internet of Things,large amount of people-centric data can be obtained and utilized to build people-centric *** that the service quality is highly related to the privacy level of the *** this paper,we investigate the problem of privacy-aware service subscription in people-centric *** efficient resource allocation framework using a combinatorial auction(CA)model is ***,the resource allocation problem that maximizes the social welfare in view of varying requirements of multiple users is formulated,and it is solved by a proposed computationally tractable solution ***,the prices of allocated resources that winners need to pay are figured out by a designed *** results demonstrate the effectiveness of the proposed scheme.