Research On User Participation In Online Incentive Mechanism In Mobile Group-aware Network

With the development of mobile technology,the existing mobile terminals integrate more and more sensors,each mobile terminal can become a device which computing and exchanging information resources,and the network which built up with a large number of terminal equipments enables users to access and share data quickly and dynamically.The emergence and popularization of this kind of perception promotes the development of the mobile crowd sensing network.Mobile crowd sensing network is user-centered,and adequate user participation is the basis,so how to attract more users to participate in the tasks processing is becoming a new research filed.Aiming at the deficiencies of randomness of user selection,task handling efficiency and controlling budget of the existing incentive mechanisms,the article proposed two participation-aware incentive policies.The main achievements include:A user participation-aware online incentive policy based on credibility model is proposed.Initially,the policy sets the different credibility value of user,and chooses the higher credibility value user to process tasks in the task assignment process.Subsequently,it reduces the user cost by setting up the factor.In the end,the user's reputation value is updated and the user can enter the next task competition.Experimental results show that the user participation-aware online incentive policy based on credibility model can improve user participation rate and task completion rate while reducing user cost and save total budget.A user participation-aware online incentive policy based on user threshold value is proposed.The policy divides the task into three types,when the user receives any kind of sub task,the corresponding threshold value and the predictive cost of the sub task are generated,and this values are reported to platform.Then,the platform selects the appropriate user to process tasks based on this information,and calculates the reward that the user should get when completing the sub task.Finally,the user decides whether or not to participate in the process of the sub task according to the particular way.Experimental results show that the user participation-aware incentive policy based on user threshold value can improve task completion rate and reduce budget expense when processing three types of sub tasks.