Mobile crowdsensing tasks allocation for mult-parameter bids
Nowaday,mobile crowdsensing(MCS)is widely used in mobile devices,and one of the key challenges is how to motivate users to provide sensing services.In this paper,we explore the sensing task allocation in a MCS environment in which requester aims to maximize the valuation of tasks with limited budget.According to the multi-parameter bids of users including sensing costs and available time,we design our mechanism which consists of a sensing task allocation algorithm and a payment policy,and the truthfulness and individual rationality of our mechanism are proved.Finally,we demonstrate the efficiency and feasibility of our mechanism through extensive simulations.
Mobile crowdsensing multi parameter allocation algorithm incentive mechanism
Anding Hu Yonggen Gu
College of Mathematics,Physics and Information Engineering,Zhejiang Normal University School of Information Engineering,Huzhou University
国际会议
重庆
英文
489-493
2017-10-03（万方平台首次上网日期，不代表论文的发表时间）