A Model Driven Software Framework for Zigbee Based Energy Saving Systems

While wireless sensor network drives the trend toward low-cost, in many industrial applications, it is not this factor that impacts on the rapid deployment of products on the markets but the rapidly changing application environment and design requirements. How to rapidly construct application software for different design requirements and operate smoothly are major challenges. An automatic embedded software generation framework that can create and evolve Zigbee applications is proposed. The framework consists of several major modules: pattern extraction, code generation and architecture mapping. Pattern extraction and development are designed to provide Zigbee application with the benefit of model reuse and modification. SysML serves as a medium between pattern development and code generation. State diagrams, class diagrams and sequence diagram help describes a specific application scenario. This research provides an embedded software development framework that integrates the heterogeneous readers and sensors interfaces with an optimal energy control model to enhance the quality of digital home living environments. The framework allows rapid deployment of the supporting software for a suite of energy control and sensing devices aiming not only at energy saving but allowing individual residents to monitor their energy use at any time. The closely similar pattern of power consumption profiles among hand written code and model derived code indicate that our tool has successfully completed the goal in synthesizing the required component codes and function successfully in controlling the comfort level with minimum amount of energy consumption. The stored energy efficient pattern can be reused at will for real world application of energy saving deployments.