Existing approaches for sensor networks suffer from a number of critical drawbacks. First, homogeneous deployments have been commonly assumed, but in practice multiple deployments of sensor nets and heterogeneity of sensor networks are a serious problem. Second, existing approaches are very application-dependent and engineering-oriented. Third, there has been little standard available for WSNs. These drawbacks have significantly limited the further development of sensor networks. To overcome these critical drawbacks, we propose an extensive framework: Semantic Sensor Net (SSN). In brief, a semantic sensor net is a heterogeneous sensor network which enables dynamic tagging of semantic information to sensory data to allow more efficient and systematic monitoring and handling of the environmental dynamics to provide demanded services.
Lionel M. Ni, Yanmin Zhu, Jian Ma, Minglu Li, Qion