Abstract
In mobile ad hoc networks, nonparametric belief propagation (NBP) algorithm is a promising cooperative localization scheme because of high accuracy, applicability to non-Gaussian uncertainty. However, the high computational cost limits the application of NBP. To solve the problem, an efficient and practical NBP-based cooperative localization scheme is proposed. In the scheme, the issues of anchor node selection, node mobility and non-Gaussian uncertainty are considered. Firstly, anchor nodes are selected based on a distributively clustered network. Then the cooperative localization process is performed, in which a practical ranging error model is employed. Moreover, to mitigate the influence of node mobility, the re-selection process of anchor nodes is conducted when necessary. The simulation results demonstrate the efficiency of the proposed scheme in improving the positioning accuracy and reducing the computational cost compared with the conventional NBP method.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Xu, C., Yu, H., Yang, M. (2018). An Efficient Nonparametric Belief Propagation-Based Cooperative Localization Scheme for Mobile Ad Hoc Networks. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-66628-0_49
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DOI: https://doi.org/10.1007/978-3-319-66628-0_49
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