Abstract
Localization is important for the wireless sensor network because we need sensor nodes to tell the central monitor the specific location where the event is happening. In this paper, in view of the low positioning accuracy of the mobile node localization in WSN, we propose an improved algorithm called SPSOMCB to improve the localization accuracy. We use the simplified particle swarm optimization algorithm in the Monte Carlo localization boxed algorithm to improve the localization accuracy of the mobile node while not significantly increasing the computational complexity. The SPSOMCB algorithm utilizes the MCB algorithm to predict the position of the mobile node, build the fitness function according to the position error, and then take the SPSO to rapidly optimize the position error function and decrease the localization error as much as possible. In comparison with the MCB algorithm, experimental results show that the proposed SPSOMCB algorithm can reduce the mobile node location error.
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This study is supported by the Kwang-Hua Fund for the College of Civil Engineering, Tongji University.
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© 2015 Springer International Publishing Switzerland
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Sun, M., Tan, A. (2015). A Mobile Localization Algorithm Based on SPSO Algorithm. In: Wong, W. (eds) Proceedings of the 4th International Conference on Computer Engineering and Networks. Lecture Notes in Electrical Engineering, vol 355. Springer, Cham. https://doi.org/10.1007/978-3-319-11104-9_8
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DOI: https://doi.org/10.1007/978-3-319-11104-9_8
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11103-2
Online ISBN: 978-3-319-11104-9
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