Multiple query optimization based on data prediction in wireless sensor networks

Multiple query optimization is one of the most recent fields in query processing of wireless sensor networks. It is very likely for a network to be queried by multiple users simultaneously while these queries may have many commonalities and overlapping data. The overlapping data includes geographical locations, data acquisition conditions or specified actions in the query plans. Using the traditional techniques, the queries will be executed independently and execution of redundant and repetitious operations by sensor nodes leads to energy wastage in the sensor network. Therefore, it is possible to prevent the network from consuming too much energy, by applying multiple query optimization methods. In this work, a prediction based component is used for making decisions about the way of merging queries, in environment monitoring applications. Simulation results demonstrate a considerable reduction of transmitted messages and energy consumption in wireless sensor networks.