SEPSen: semantic event processing at the sensor nodes for energy efficient wireless sensor networks

Traditionally in WSNs, the sensor nodes are used only for capturing
data that is then later analyzed in the more powerful gateway
nodes. This requires a continuous communication that wastes energy
at the sensor nodes and greatly reduces the overall network
lifetime. We propose a semantic-based in-network data processing
that reduces energy consumption and improves the scalability of
heterogeneous sensor networks. Ontology fragments in each sensor
node help identify the data routed through the sensor network. We
have adapted a matching algorithm to process a changing knowledge
base. Simulation results show that the networks’ energy consumption
is considerably reduced.