Abstract
With the development of agricultural IOT technology in Xinjiang plain area, most researchers found it difficult to obtain the real-time position information of all the nodes in the irrigation area because of the restriction of the region. An integrated location algorithm using Beidou and WSN is presented to achieve seamless positioning for all the nodes in the network. This algorithm can calculate the absolute positioning of cluster nodes by configuring the Beidou module on the cluster nodes and then get the relative position of the terminal node through the cluster nodes. Based on the algorithm, a monitoring system is carried out to achieve positioning of the irrigated agricultural area of all the nodes. Simulation results show that the monitoring system based on the integrated algorithm can locate most of the nodes in the network with a lower hardware cost.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Liu, Z.P., Yuan, M., Academy, S., et al.: An improved indoor positioning method based on Wi Fi fingerprinting. Comput. Mod. (2016)
Chen, L., Li, B., Zhao, K., et al.: An improved algorithm to generate a Wi-Fi fingerprint database for indoor positioning. Sensors 13(8), 11085 (2013)
Yu, F., Jiang, M., Liang, J., et al.: An improved indoor localization of WiFi based on support vector machines. Int. J. Future Gener. Commun. Netw. 7, 191–206 (2014)
Benkic, K., Malajner, M., Planinsic, P., et al.: Using RSSI value for distance estimation in wireless sensor networks based on ZigBee. In: International Conference on Systems, Signals and Image Processing, pp. 303–306. IEEE (2008)
Huang, H., Sun, L., Wang, R., et al.: A novel coverage enhancement algorithm for image sensor networks. Int. J. Distrib. Sens. Netw. 8, 184–195 (2012)
Sallouha, H., Chiumento, A., Pollin, S.: Localization in long-range ultra narrow band IoT networks using RSSI (2017)
Shen, X., Yang, S., He, J., et al.: Improved localization algorithm based on RSSI in low power Bluetooth network. In: International Conference on Cloud Computing and Internet of Things, pp. 134–137 (2016)
Zhang, K.S., Xu, Y.M., Yang, W., et al.: Improved localization algorithm based on proportion of differential RSSI. Appl. Mech. Mater. 192, 401–405 (2012)
Acknowledgments
This work is partly supported by the national natural science fund (61561027) and the shanghai natural science fund (16ZR1415100).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Chi, T., Wang, L., Chen, M. (2018). An Application of a Location Algorithm Integrating Beidou and WSN in Agricultural IOT. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 848. Springer, Singapore. https://doi.org/10.1007/978-981-13-0893-2_27
Download citation
DOI: https://doi.org/10.1007/978-981-13-0893-2_27
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-0892-5
Online ISBN: 978-981-13-0893-2
eBook Packages: Computer ScienceComputer Science (R0)