Abstract
Node Localization is one of the key technology in the field of wireless sensor network (WSN) that has become a challenging research topic under the lack of distance measurement. In order to solve this problem, a localization algorithm based on concentric circle distance calculation (LA-CCDC) is proposed. The LA-CCDC takes the beacon as the center of the concentric circle, then divides the task area into concentric circles with the k communication radius of sensor, which forms concentric rings. The node located in the k hops ring intersects the concentric circle with (k − 1) r radius that forms an intersection area. This area is used to calculate the distance from the beacon to the unknown node, hyperbola is then adopted to locate the unknown node. In the application scenario with node random distribution, the simulation results show that the LA-CCDC algorithm gets the node location with low error under different node number, different beacons and different communication radius of sensor.
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References
Gupta, S., Singh, M., Srivastava, S.: Wireless sensor network: a survey. Int. J. Innov. Adv. Comput. Sci. 2(4), 78–85 (2015)
Gumaida, B.F.: ELPMA: efficient localization algorithm based path planning for mobile anchor in wireless sensor network. Wirel. Pers. Commun. Int. J. 100, 721–744 (2018). https://doi.org/10.1007/s11277-018-5343-z
Zhu, X., Dong, W., Renfa, L.I., et al.: Localization and nodes location-aware in Internet of Things. Scientia Sinica (Informationis) 43(10), 1265–1287 (2013)
Nieoleseu, D., Nath, B.: Ad-hoc positioning systems (APS). In: Proceedings of the 2001 IEEE Global Telecommunications Conference, vol. 5, pp. 2926–2931. IEEE Communications Society, San Antonio (2001)
Patwari, N., Hero, A.O., Perkins, M., et al.: Relative location estimation in wireless sensor networks. IEEE Trans. Signal Process. 51(8), 2137–2148 (2003)
Girod, L., Estrin, D.: Robust range estimation using acoustic and multimodal sensing. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2001), vol. 3, pp. 1312–1320. IEEE Robotics and Automation society, Maui (2001)
Lazos, L., Poovendran, R.: POPE: robust position estimation in wireless sensor networks. In: Proceedings of the 4th IEEE International Conference on Information Processing in Sensor Networks, pp. 324–331 (2005)
Niculescu, D., Nath, B.: DV based positioning in ad hoc networks. Telecommun. Syst. 22(1/4), 267–280 (2003)
Shen, S., Yang, B., Qian, K., et al.: An improved amorphous localization algorithm for wireless sensor networks. In: International Conference on Networking & Network Applications. IEEE (2016)
Bulusu, N., Heidemann, J., Estrin, D.: GPS-less low-cost outdoor localization for very small devices. IEEE Pers. Commun. 7(5), 28–34 (2000)
He, T., Huang, C., Blum, B.M., et al.: Range-free localization and its impact on large scale sensor networks. ACM Trans. Embed. Comput. Syst. 4(4), 877–906 (2005)
Goyat, R., Rai, M., Kumar, G., et al.: Improved DV-Hop localization scheme for randomly deployed WSNs. Int. J. Sensors Wirel. Commun. Control 10(1), 94–109 (2020)
Qiao, X., Chang, F., Ling, J.: Improvement of localization algorithm for wireless sensor networks based on DV-Hop. Int. J. Online Biomed. Eng. 15(06), 53–65 (2019)
Amri, S., Khelifi, F., Bradai, A., et al.: A new fuzzy logic based node localization mechanism for Wireless Sensor Networks. Future Gener. Comput. Syst. (2017). S0167739X17303886
Mass-Sanchez, J., Ruiz-Ibarra, E., Cortez-González, J., et al.: Weighted hyperbolic DV-Hop positioning node localization algorithm in WSNs. Wirel. Pers. Commun. 96, 5011–5033 (2016)
Stanoev, A., Filiposka, S., In, V., et al.: Cooperative method for wireless sensor network localization. Ad Hoc Netw. 40, 61–72 (2016)
Li, G., Zeng, J.: Ranging distance modified by particle swarm algorithm for WSN node localization. J. Jilin Univ. 56(231(03)), 188–194 (2018)
Acknowledgment
This work was supported by the Yunnan Local Colleges Applied Basic Research Projects (2017FH001-059, 2018FH001-010, 2018FH001-061), National Natural Science Foundation of China (61962033).
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Qian, K., Pu, C., Wang, Y., Yu, S., Shen, S. (2020). Localization Algorithm of Wireless Sensor Network Based on Concentric Circle Distance Calculation. In: Zeng, J., Jing, W., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2020. Communications in Computer and Information Science, vol 1257. Springer, Singapore. https://doi.org/10.1007/978-981-15-7981-3_29
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DOI: https://doi.org/10.1007/978-981-15-7981-3_29
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