Rewards-based negotiation for providing context information

How to provide appropriate context information is a challenging problem in context-aware computing. Most existing approaches use a centralized selection mechanism to decide which context information is appropriate. In this paper, we propose a novel approach based on negotiation with rewards to solving such problem. Distributed context providers negotiate with each other to decide who can provide context and how they allocate proceeds. In order to support our approach, we have designed a concrete negotiation model with rewards. We also evaluate our approach and show that it indeed can choose an appropriate context provider and allocate the proceeds fairly.