Ubiquitous Computing with Context Awareness is emerging as a significant technology which is capable of supporting a wide variety of real world applications such as health care, environmental monitoring, security, etc. Most of the existing Context aware frameworks developed are single-application oriented. The key focus of our research work is to bring in multiple application support using single context aware framework. The proposed Ubiquitous Multi-Context Model (UMM) contains a new module “Context Categorizer” for spanning multiple real world applications. The designed model support non redundant information capturing and appropriate data sharing among multiple applications, by utilizing the potentials of wireless sensor networks. The implementation of the proposed model considers two relevant applications, health care and crowd behavior estimation, which are gaining attention nowadays.
cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@14be584b ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@5c96ae90 Through org.apache.xalan.xsltc.dom.DOMAdapter@289e9f6d; Conference Code:93189
Dr. Maneesha V. Ramesh, Anjitha, S., and Rekha, P., “Wireless Sensor Network Based Ubiquitous Multi-Context Modeling and Reasoning”, in CAC‐WSN, Korea: Springer, 2012, pp. 721–728.