Abstract
With the development of mobile computing, sensor technology and wireless communications, Internet of Things (IoT) has been one of the research hotspots in recent years. Because sensor node localization plays an important role in IoT, we propose a spatial crowdsourcing-based sensor node localization method in this paper. Based on the concept of spatial crowdsourcing, anchor nodes are assigned to new locations according to node location relationship for localization performance improvement. Then, unknown nodes are upgraded to be anchor nodes. Finally, localization coordinates are calculated with DV-Hop method. Simulation results prove that our proposed localization method outperforms DV-Hop method.
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Acknowledgment
The authors gratefully thank the referees for the constructive and insightful comments. This work was supported by the National Natural Science Foundation of China under Grant No. 61701223, the Natural Science Foundation of Jiangsu Province under Grant No. BK20171023, and the Natural Science Foundation of the Jiangsu Higher Education Institutions of China under Grant No. 16KJB510014.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Sun, Y., Sun, Y., Zhao, K. (2018). Spatial Crowdsourcing-Based Sensor Node Localization in Internet of Things Environment. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-73447-7_57
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DOI: https://doi.org/10.1007/978-3-319-73447-7_57
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