A Multi-model Based Range Query Processing Algorithm for the WSN

One important research topic for the wireless sensor network is about the range query, i.e., retrieving the areas in the sensor network where the temperature is between 30 ai¾?C and 35ai¾?C. The traditional approaches are not feasible for such query since they use a single probability model to describe the data distribution of the sensor nodes, which is not accurate. In this paper, we propose a multi-model based range query processing algorithm, which utilizes multiple probability models to improve the accuracy and saves the energy consumption of the single model based algorithms. We conduct experiments on real dataset. The experimental results show that the multi-model based algorithm can save more energy than that consumed by the single model based algorithm.