Abstract
Node localization is one of the key technologies of Underwater Sensor Networks (UWSN). Because of the unique ocean environment conditions, beacon nodes are difficult to deploy precisely and move under the action of ocean currents and tides. Usually the beacon nodes are fixed to the sea floor through anchors and cables, and they can move within a certain range. Most existing localization algorithms do not take such mobility of beacon nodes into account, resulting in large localization errors. In order to overcome this disadvantage, this paper analyzes the characteristics of mobile-constrained beacon nodes and proposes a new localization algorithm in UWSN, namely, Mobile-constrained beacon based localization algorithm. It solves the problem that the position of beacon node is dynamic and imprecise. The unknown node can be located by the geometric relationship between the position of the anchor and the moving radius of the beacon node. In the calculation process, the polygonal area is transformed into a rectangular area, and the three-dimensional (3D) space is mapped into a two-dimensional (2D) space, the calculation process is simplified, and the feasibility of the algorithm is improved. The algorithm can be used both for 2D and 3D localization. Experiment results show that the algorithm proposed in this paper improves the localization accuracy, reduces the error rate of network node location, and has good practicality.
Similar content being viewed by others
References
Li, Y., Lu, H., Li, K. C., Kim, H., & Serikawa, S. (2018). Non-uniform de-scattering and de-blurring of Underwater Images. Mobile Networks and Applications,23(2), 352–362.
Guo, Z. W., Luo, H. J., Hong, F., et al. (2010). Research progress of underwater wireless sensor networks. Computer Research and Development,47(3), 377–389.
Ruan, H. (2013). Design and implementation of node localization algorithm for underwater wireless sensor networks. Nanjing: Nanjing University of Posts and Telecommunications.
Wang, S. L. (2014). Research on rigid location discrimination of underwater sensor networks based on skeleton extraction. Hefei University of Technology,38(3), 589–601.
Ismail, N. S. N., Hussein, L. A., & Ariffin, S. H. S. (2010). Analyzing the performance of acoustic channel in underwater wireless sensor network (UWSN). In IEEE.
Hossain, M. F., Wali, M. B., Munasinghe, K. S., et al. (2016). Three dimensional (3D) underwater sensor network architectures for intruder localization using EM wave. In Wireless communications and networking conference (pp. 1–5). IEEE.
Karpeles, M., & Torres, D. (2010). Underwater acoustic communication. In: Mechanisms for autonomous management of networks and services, and, international conference on autonomous infrastructure, management and security (pp. 98–101). Springer.
Li, Z., Guo, Z., Hong, F., et al. (2013). E2DTS: An energy efficiency distributed time synchronization algorithm for underwater acoustic mobile sensor networks. Ad Hoc Networks,11(4), 1372–1380.
Yu, X., Chu, Y., Jiang, F., et al. (2018). SVMs classification based two-side cross domain collaborative filtering by inferring intrinsic user and item features. Knowledge-Based Systems,141, 80–91.
Das, A. P., & Thampi, S. M. (2016). Fault-resilient localization for underwater sensor networks. Ad Hoc Networks,55, 132–142.
Faugstadmo, J. E., Pettersen, M., Hovem, J. M., et al. (2013). Underwater wireless sensor network. In Oceans (pp. 422–427). IEEE.
Aparicio, J., Jiménez, A., Álvarez, F. J., et al. (2016). Characterization of an underwater positioning system based on gps surface nodes and encoded acoustic signals. IEEE Transactions on Instrumentation and Measurement,65(8), 1773–1784.
Ahmed, M., Salleh, M., & Channa, M. I. (2016). Routing protocols based on node mobility for underwater wireless sensor network (UWSN): A survey. Journal of Network and Computer Applications,78, 242–252.
Luo, H., Wu, K., Ruby, R., et al. (2017). Simulation and experimentation platforms for underwater acoustic sensor networks: Advancements and challenges. ACM Computing Surveys,50(2), 28.
Du, X. J., Huang, K. J., Liu, F., et al. (2013). Micro-ANP: A novel network protocol architecture for underwater sensor network. Applied Mechanics and Materials,303–306, 223–230.
Zhou, Z., Cui, J. H., & Bagtzoglou, A. (2008). Scalable localization with mobility prediction for underwater sensor networks. In The conference on computer communications INFOCOM 2008 (pp. 2198–2206). IEEE.
Walter, N., & Rakesh, N. (2018). See through approach for the solution to node mobility issue in underwater sensor network (UWSN). In Networking communication and data knowledge engineering.
Stojanovic, M., & Preisig, J. (2009). Underwater acoustic communication channels: Propagation models and statistical characterization. IEEE Communications Magazine,47(1), 84–89.
Sun, D. J., Zheng, C. E., Qian, H. B., et al. (2012). Application of underwater acoustic positioning system in marine engineering. Acoustic Technology,31(2), 125–132.
Liang, N. N., Cheng, Y. W., Wang, N., et al. (2018). Development and application of underwater acoustic positioning system. Technology and Market,25(11), 147–149.
Zhang, C., Liu, Y., Guo, Z., et al. (2014) Minimum cost localization problem in three-dimensional ocean sensor networks. In IEEE international conference on communications (pp. 496–501). IEEE.
Lu, H., Li, Y., Uemura, T., Kim, H., & Serikawa, S. (2018). Low illumination underwater light field images reconstruction using deep convolutional neural networks. Future Generation Computer Systems,82, 142–148.
Lu, H., Li, Y., Chen, M., Kim, H., & Serikawa, S. (2018). Brain intelligence: Go beyond artificial intelligence. Mobile Networks and Applications,23(2), 368–375.
Wang, L. W., Yao, Y., Du, H. S., et al. (2018). The network location technology of large scale underwater acoustic sensor. Ship Science and Technology, 2018(13), 106–110, 120.
Heidemann, J., Stojanovic, M., & Zorzi, M. (1958). Underwater sensor networks: Applications, advances and challenges. Philosophical Transactions,2012(370), 158.
Shu, M. L., Cui, H. Q., Wang, Y. L., et al. (2015). Planning the obstacle-avoidance trajectory of mobile anchor in 3D sensor networks. Science China Information Sciences,58(10), 102304.
Erol, M., Vieira, L. F. M., & Gerla, M. (2007). AUV-aided localization for underwater sensor networks. In International conference on wireless algorithms. IEEE.
Isik, M. T., & Akan, O. B. (2009). A three dimensional localization algorithm for underwater acoustic sensor networks. IEEE Transactions on Wireless Communications,8(9), 4457–4463.
Liu, L., & Wu, J. (2015). Zhu Z (2015) Multihops fitting approach for node localization in underwater wireless sensor networks. International Journal of Distributed Sensor Networks,11(2), 682182.
Guo, Z., Guo, Y., Hong, F., et al. (2010). Perpendicular intersection: Locating wireless sensors with mobile beacon. IEEE Transactions on Vehicular Technology,59(7), 3501–3509.
Ying, G. (2010). Research on key technologies of event-triggered wireless sensor networks. Qingdao: Ocean University of China.
Luo, H., Guo, Z., Dong, W., et al. (2010). LDB: Localization with directional beacons for sparse 3D underwater acoustic sensor networks. Journal of Networks,5(1), 28–38.
Lee, S., & Kim, K. (2012). Localization with a mobile beacon in underwater acoustic sensor networks. Sensors,12(5), 5486–5501.
Yang, Z., Li, M., & Liu, Y. (2007). Sea depth measurement with restricted floating sensors. In IEEE RTSS 2007, Tucson, Arizona, USA.
Luo, H., Wu, K., Gong, Y., et al. (2016). Localization for drifting restricted floating ocean sensor networks. IEEE Transactions on Vehicular Technology,65, 9968–9981.
Luo, J., & Fan, L. (2017). A two-phase time synchronization-free localization algorithm for underwater sensor networks. Sensors,17(4), 726.
Chang, H. Y., Kang, H. L., Moon, H. P., et al. (2009). Sensor localization algorithms in underwater wireless sensor networks. In Iccas-Sice (pp. 1760–1764). IEEE.
Acknowledgements
The work was supported by Natural Science Foundation of Shandong Province (No. ZR2016FQ10), National Natural Science Foundation of China (No. 6167126, No. 61802217), Key Research and Development Program of Shandong Province (No. 2016GGX101007).
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Guo, Y., Han, Q. & Kang, X. Underwater sensor networks localization based on mobility-constrained beacon. Wireless Netw 26, 2585–2594 (2020). https://doi.org/10.1007/s11276-019-02023-5
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11276-019-02023-5