Expressing Sensor Network Interaction Patterns using Data-driven Macroprogramming

Wireless Sensor Networks (WSNs) are increasingly be- ing employed as a key building block of pervasive com- puting infrastructures, owing to their ability to be embed- ded within the real world. So far, pervasive applications for WSNs have been developed in an ad-hoc manner using node-centric programming models, focusing on the behav- ior of single nodes. Instead, macro-programming models provide much higher levels of abstractions, allowing developers to reason on the sensor network as a whole. In this paper, we demonstrate how a wide range of interaction patterns commonly found in pervasive, embedded applications can be expressed using ATaG, a data-driven macro-programming language. To support this, we show- case real-world applications developed in ATaG, and con- sider both homogeneous, sense-only scenarios, and hetero- geneous settings involving actuation on the environment un- der control.