Model-Driven Performance Engineering for Wireless Sensor Networks With Feature Modeling and Event Calculus
This paper proposes and evaluates a model-driven performance engineering framework for Wireless Sensor Networks (WSNs). The proposed framework, called Moppet, is designed for application developers to rapidly implement WSN applications and estimate their performance. It leverages the notion of feature modeling so that it allows developers to graphically and intuitively specify features (e.g., functionalities and configuration policies) in their applications. It also validates a set of constraints among features and generates application code. Moppet also uses event calculus in order to estimate a WSN application's performance without generating its code nor running it on simulators and real networks.