Health-Care Pervasive Environments: A CLA Based Trust Management

摘要

Pervasive computing environments and technologies have attracted much attention in the health-care field recently. The application of pervasive computing technologies in the public health and medicine caused the emergence of pervasive healthcare as a new concept. Using pervasive healthcare, patients are able to access to the health and medical services at anytime and anywhere. However selecting the most trusted service provider among available ones is a challenging task. In this paper, we have proposed a new model for pervasive health-care systems in which the patient smart device not only uses its own past experiences but also learns from its neighbors (friends) in a health-care social network to update the trust of available providers using a CLA (cellular learning automata). Comparing the proposed method with existing recommendation based methods shows that it is more scalable, efficient and appropriate for dynamic environments without sacrificing the precision.