A Policy Editor for Semantic Sensor Networks

TL;DR

This paper introduces a framework and a policy editor tool that translate high-level safety policies into executable rules for sensor networks, aiding quick responses in hazardous environments.

Contribution

It presents an automated method to generate abstractions from sensor data schemas, simplifying policy creation and testing in semantic sensor networks.

Findings

Automated generation of relevant abstractions from sensor data schemas.

A functional policy editor tool for semantic sensor networks.

Simulation results demonstrating policy testing capabilities.

Abstract

An important use of sensors and actuator networks is to comply with health and safety policies in hazardous environments. In order to deal with increasingly large and dynamic environments, and to quickly react to emergencies, tools are needed to simplify the process of translating high-level policies into executable queries and rules. We present a framework to produce such tools, which uses rules to aggregate low-level sensor data, described using the Semantic Sensor Network Ontology, into more useful and actionable abstractions. Using the schema of the underlying data sources as an input, we automatically generate abstractions which are relevant to the use case at hand. In this demonstration we present a policy editor tool and a simulation on which policies can be tested.