Abstract
To solve the location problem of WSN nodes, an improved MCL algorithm is used. Phase velocity and motion direction of the node are estimated by Newton’s difference method, and the energy consumption in the stage of the node’s position forecasting and filtering is reduced. Recursion type importance sampling method is used to forecast the posterior probability distribution of node location in this algorithm, which improves locating accuracy and optimizes the positioning performance of MCL algorithm.
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Zhao, J., Yao, G., Zhang, J., Yao, S. (2011). Research of Node Location Algorithm in Wireless Sensor Network. In: Jin, D., Lin, S. (eds) Advances in Multimedia, Software Engineering and Computing Vol.2. Advances in Intelligent and Soft Computing, vol 129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25986-9_48
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DOI: https://doi.org/10.1007/978-3-642-25986-9_48
Publisher Name: Springer, Berlin, Heidelberg
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