Research Article
Spatial Crowdsourcing-Based Sensor Node Localization in Internet of Things Environment
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@INPROCEEDINGS{10.1007/978-3-319-73447-7_57, author={Yongliang Sun and Yejun Sun and Kanglian Zhao}, title={Spatial Crowdsourcing-Based Sensor Node Localization in Internet of Things Environment}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={IoT Spatial crowdsourcing Localization Node upgradation}, doi={10.1007/978-3-319-73447-7_57} }- Yongliang Sun
Yejun Sun
Kanglian Zhao
Year: 2018
Spatial Crowdsourcing-Based Sensor Node Localization in Internet of Things Environment
MLICOM
Springer
DOI: 10.1007/978-3-319-73447-7_57
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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