Abstract
Aiming at localization algorithms in 3D space which has some problems such as high complexity, large power consumption, long delay and so on, a 3D localization algorithm was proposed which combines DV-Hop with cube shell intersection method. This algorithm improves the DV-Hop in a special situation to get the unknown nodes’ initial positions and employs the Cube Radius scale to get the final position. The theoretical analysis shows this algorithm has low complexity. Compared with 3D-DV-Hop, the location accuracy and fraction of coverage of this algorithm were improved obviously.
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References
Sing, P., Agrawal, S.: Node localization in wireless sensor networks using the M5P tree and SMOreg Algorithms. J. Comput. Intell. Commun. Netw. (CICN) 5, 104–108 (2013)
Zhang, L., Zhou, X., Cheng, Q.: Landscape-3D: a robust Localization scheme for sensor networks over complex 3D. In: 31st IEEE Conference on Local Computer Networks New York, pp. 239–246. IEEE Press, New York (2006)
Yang, S., Bo, Z., Kun, W., Hui, C.: DB: A Developed 3D positioning algorithm in WSN based on DV-Hop and bounding cube. J. Comput. Manag. (CAMAN) 10, 1–4 (2011)
Liu, L., Zhang, H., Shu, J., Chen, Y.: A RSSI-weighted refinement method of IAPIT-3D. J. Comput. Sci. Netw. Technol. (ICCSNT) 3, 1973–1977 (2011)
Liang, J., Shao, J., Xu, Y., Tan, J., Davis, B.T., Bergstrom, P.: Sensor networks localization in constrained 3-D spaces. In: 3rd 2006 IEEE International Conference, pp. 49–54. IEEE Press(2006)
Yang, G.: Central limit theorem and its application in statistical analysis. J. Stat. Inf. Forum 15, 13–15 (2000)
Liu, S., Zheng, Y., Zhong, Z., Li, Y., Fan, X.: Improved DV-Hop algorithm for high accuracy and low energy consumption. J. Comput. Sci. Autom. Eng. (CSAE) 3, 349–353 (2012)
Yang, P., Wu, W., Moniri, M.: Efficient object localization using sparsely distributed passive RFID tags. J. Comput. Sci. Autom. Eng. (CSAE) 60, 5914–5924 (2013)
Shen, H., Ding, Z., Zhao, C.: Multiple source localization in wireless sensor networks based on time of arrival measurement. J. Signal Process. 62, 1938–1949 (2014)
Ren, Y., Yu, N., Guo, X., Wan, J.: Cube-scan based three-dimensional localization for large-scale underwater wireless sensor networks. In: SysCon 2012 - 2012 IEEE International Systems Conference, pp. 186–191. IEEE Press (2012)
Wu, Q., Xu, P., Zhang, S., Chu, H.: A distributed localization algorithm based on random diffusion in WSN. J. Trust Secur. Priv. Comput. Commun. 12, 1774–1777 (2013)
Han, G., Qian, A., Li, X.: Performance evaluation of localization algorithms in large-scale underwater sensor networks. J. Comm. Netw. Chin. (CHINACOM) 8, 14–16 (2013)
Liu, Z., Li, G., Liu, X.: Monte-Carlo mobile node localization algorithms based on least squares method. J. Sens. Technol. 25(4), 541–544 (2012)
Cui, H., Wang, Y., Lv, J.: Monte-Carlo mobile node localization algorithms based on least squares method. J. Sens. Technol. 25(4), 541–544 (2012)
Zhou, S., Huang, B., Zeng, Z., Zhou, M., Zhan, J.: New type of hot spot cluster centered positioning algorithm and its application. J. Commun. 33(5), 124–137 (2012)
Cui, H., Wang, Y., Guo, Q.: Muti-mobile-beacon assisted distributed node localization scheme. J. Commun. 33(3), 103–110 (2012)
Acknowledgments
This work is supported by the National Natural Science Foundation of China (No. 61202355, 61373138), Jiangsu Province natural science foundation of China (No. BK2012436), Jiangsu province science and technology support plan (industrial) project (No. BE2012183), The national postdoctoral fund (No. 2013M531394), The specialized research fund for the doctoral program of higher education (No. 20123223120006), The science and technology innovation plan in university of Jiangsu (No. CXLX13_467). In addition, we wish to thank the anonymous reviewers for their insightful and constructive suggestions.
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Yang, H., Wu, M., Sha, C., Wang, Rc. (2015). A Three-Dimensional Localization Algorithm Based on DV-Hop in Wireless Sensor Networks. In: Sun, L., Ma, H., Fang, D., Niu, J., Wang, W. (eds) Advances in Wireless Sensor Networks. CWSN 2014. Communications in Computer and Information Science, vol 501. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46981-1_15
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DOI: https://doi.org/10.1007/978-3-662-46981-1_15
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