A trust-based service evaluation and selection model in pervasive computing environment

In pervasive computing, service evaluation and selection play an important role due to its high dynamics, complex context and catholicity characters. An effective model helps evaluating and thus selecting service efficiently. Using trust behavior experience in human society and the law of gravity in real word, this paper introduced a new concept of trust gravitation to analyze the trust relationship between pervasive interaction entities. We then built a sound system in terms of a service evaluation and selection model based on trust gravitation. The system was tested to improve the efficiency and veracity of service evaluation and selection. Experiment results show that pervasive entities can select optimum network services in time with the help of this model.