Software Development Support for Shared Sensing Infrastructures: A Generative and Dynamic Approach

Abstract

Abstract. Sensors networks are the backbone of large sensing infrastructures such as Smart Cities or Smart Buildings. Classical approaches suffer from several limitations hampering developers' work (e.g., lack of sensor sharing, lack of dynamicity in data collection policies, need to dig inside big data sets, absence of reuse between implementation platforms). This paper presents a tooled approach that tackles these issues. It couples (i) an abstract model of developers' requirements in a given infrastructure to (ii) timed automata and code generation techniques, to support the efficient deployment of reusable data collection policies on different infrastructures. The approach has been validated on several real-world scenarios and is currently experimented on an academic campus.

Towards a (de)composable workflow architecture to define data collection policies

“…Future work will first aim at applying the proposed abstraction and reuse operators on Smart City scenarios and consulting developers to understand how the abstraction and the operators are used (e.g., identify whether the composition operator is more heavily used than the decomposition one) and how they can be complemented. At mid term, we aim at extending the proposed framework by supporting the deployment and execution of the policies over different kinds of sensor networks by using model-to-model transformation techniques [5].…”