In this project, we are solving the problem of data management in pervasive computing environments facing the above challenges. Our solution broadly consists of two parts: treating the devices as semi autonomous entities guided in their interactions by profiles & context, and the design of a contract-based transaction model. The profile is grounded in a semantically rich language for representing information about users, devices, and data objects each described in terms of "beliefs", "desires", and "intentions" - a model which has been explored in multi-agent interactions. We introduce data-based routing algorithms and semantic-based data caching and replication algorithms enabling mobile devices to utilize their data-intensive vicinities. We also introduce novel interactions autonomously initiated by each device while trying to pursue its user's "intentions" and "desires" encoded in the user profiles. We are developing transaction models based on contract net principles for peer-to-peer interaction and will demonstrate our findings and solutions by creating a lightweight peer-to-peer data management architecture in pervasive environments. We also investigate cross layer security issues, integrating data level trust with network level observations