Integrating Jess rules in Renew Tool for Smart Car Guidance

Abstract

Pervasive computing environments include a diversity of interconnected smart devices, which help humans in their everyday life. The universality of these devices and the wireless Internet environment has allowed users to exploit environmental sensor data in a variety of fields. The modeling of these systems requires tools, which hold immense features such as mobility and context awareness. This paper presents a conceptual framework based on a multi-agent architecture for context-aware decision support in dynamic smart environments. The architecture is modeled using a powerful formalism called nets within net. In addition, we augmented such a formalism with the expert system (JESS) and simulated the Renew tool. We validated the proposed approach with a case study about smart car guidance.