Using dynamic software variability to manage wireless sensor and actuator networks

This paper explores the use of dynamic software variability techniques to manage Wireless Sensor and Actuator Networks (WSANs), and we describe both an architecture and a dynamic software variability mechanism that can be integrated in WSAN scenarios. Our main goal is to apply runtime variability to describe the context-aware properties of a WSAN family and manage this more efficiently by supporting dynamic changes in the structural variability that can be reflected in the configuration of the WSAN at runtime. Our approach contributes to increase self-management of WSANs based on dynamic configurable system options.