Abstract
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 °C and 35°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.
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Li, G., Gao, X., Guo, L., Lin, J., Gao, Y. (2014). A Multi-model Based Range Query Processing Algorithm for the WSN. In: Cai, Z., Wang, C., Cheng, S., Wang, H., Gao, H. (eds) Wireless Algorithms, Systems, and Applications. WASA 2014. Lecture Notes in Computer Science, vol 8491. Springer, Cham. https://doi.org/10.1007/978-3-319-07782-6_49
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DOI: https://doi.org/10.1007/978-3-319-07782-6_49
Publisher Name: Springer, Cham
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