A Distributed Reasoning Platform to Preserve Energy in Wireless Sensor Networks

A distributed reasoning platform is presented to reduce the energy consumption of Wireless Sensor Networks (WSNs) offering geospatial services by minimizing the amount of wireless communication. It combines local, rule-based reasoning on the sensors and gateways with global, ontology-based reasoning on the back-end servers. The Semantic Sensor Network (SNN) Ontology was extended to model the WSN energy consumption. One exemplary prototype is presented, namely the Garbage Bin Tampering Monitor (GBTM).