Query Optimization with Metadata Routing Tables on Nano-Q+ Sensor Network with Heterogeneous Sensors

In general, data communication among sensor nodes requires more energy than internal processing or sensing activities. In this paper, we propose a noble technique to reduce the number of packet transmissions necessary for query dissemination or query results relaying processes among neighboring nodes with the help of context-aware routing tables. The important information maintained in the context-aware routing table is which physical properties can be measured by descendent nodes reachable from the current node. Based on the information, the node is able to eliminate unnecessary packet transmission by filtering out the child nodes for query dissemination or query results relaying. The simulation results show that up to 80% of performance gains can be achieved with our technique.