Information Interaction in Wireless Sensor Networks Based on Socially Aware Computing

The integration of pervasive computing and social computing results in a new emerging research field - Socially Aware Computing. This new paradigm makes it possible to study Wireless Sensor Networks (WSN) as a social network, in which the embedded sensors are the main entities as opposed to human beings in a traditional social network. Therefore, the combination of WSN and Socially Aware Computing holds great promise and challenge to use the sensory data to understand human behavior, human mobility, and ultimately to help solve human social problems. In this paper, we propose an information interaction infrastructure in WSN based on Socially Aware Computing, in which the sensory context is used to recognize a broad range of complex human activities and environmental situations. We also present the information interaction challenges for WSN integrated into the Internet and point out the future work in this area.