Incentive Mechanisms for Smartphone Collaboration in Data Acquisition and Distributed Computing
This paper analyzes and compares different incentive mechanisms for a client to motivate the collaboration of smartphone users on both data acquisition and distributed computing applications. Data acquisition from a large number of users is essential to build a rich database and support emerging location-based services. The authors propose a reward-based collaboration mechanism, where the client announces a total reward to be shared among collaborators, and the collaboration is successful if there are enough users willing to collaborate. They show that if the client knows the users' collaboration costs, then he can choose to involve only users with the lowest costs by offering a small total reward.