Abstract
A quantified accuracy measurement based AUV localization algorithm which employs cooperation among multiple AUVs is proposed. With cooperative communication, AUVs with high location accuracies can help to improve the localization accuracy of AUVs with currently low location accuracies. The average updating time via GPS and deviation distance are measured. Simulation results show that the proposed localization algorithm improves the localization accuracy and reducing the location updating frequency for AUVs. Besides, it helps to prolong the AUV lifetime.
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References
Williams, S.B., Pizarro, O., Mahon, I., Johnson-Roberson, M.: Simultaneous localisation and mapping and dense stereoscopic seafloor reconstruction using an AUV. In: Khatib, O., Kumar, V., Pappas, G.J. (eds.) Experimental Robotics, vol. 54, pp. 407–416. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-00196-3_47
Liu, L., Zhou, S., Cui, J.-H.: Prospects and problems of wireless communication for underwater sensor networks. Wirel. Commun. Mob. Comput. 8(8), 977–994 (2008)
Heidemann, J., Ye, W., Wills, J., Syed, A., Li, Y.: Research challenges and applications for underwater sensor networking. In: Proceedings of the IEEE Wireless Communications and Networking Conference, vol. 1, pp. 228–235 (2006)
Whitcomb, L., Yoerger, D.R., Singh, H., Howland, J.: Advances in underwater robot vehicles for deep ocean exploration: navigation, control, and survey operations. In: Hollerbach, J.M., Koditschek, D.E. (eds.) Robotics Research, pp. 439–448. Springer, London (2000). https://doi.org/10.1007/978-1-4471-0765-1_53
Stojanovic, M., Preisig, J.: Underwater acoustic communication channels: propagation models and statistical characterization. IEEE Commun. Mag. Underwater Wirel. Commun. 47(1), 84–89 (2009)
Stojanovic, M.: On the relationship between capacity and distance in an underwater acoustic communication channel. ACM SIGMOBILE Mob. Comput. Commun. Rev. 11(4), 34–43 (2007)
Akyildiz, I.F., Pompili, D., Melodia, T.: Underwater acoustic sensor networks: research challenges. Ad Hoc Netw. 3(3), 257–279 (2005)
Singh, H., et al.: An integrated approach to multiple AUV communications, navigation and docking. In: OCEANS ‘96. MTS/IEEE. Prospects for the 21st Century. Conference Proceedings, 23–26 September 1996, vol. 1, pp. 9–64 (1996)
Curcio, J., et al.: Experiments in moving baseline navigation using autonomous surface craft. In: OCEANS, 2005. Proceedings of MTS/IEEE, vol. 1, pp. 730–735 (2005)
Matos, A., Cruz, N., Martins, A., Pereira, F.L.: Development and implementation of a low-cost LBL navigation system for an AUV. In: OCEANS ‘99 MTS/IEEE. Riding the Crest into the 21st Century, vol. 2, pp. 774–779 (1999)
Austin, T.C., Stokey, R.P., Sharp, K.M.: PARADIGM: a buoy-based system for AUV navigation and tracking. In: OCEANS 2000 MTS/IEEE Conference and Exhibition, vol. 2, pp. 935–938 (2000)
Chandrasekhar, V., Seah, W.K., Choo, Y.S., Ee, H.V.: Localization in underwater sensor networks - survey and challenges. In: WUWNet 2006 Proceedings of the 1st ACM International Workshop on Underwater Networks, pp. 33–40 (2006)
Chitre, M., Shahabudeen, S., Freitag, L., Stojanovic, M.: Recent advances in underwater acoustic communications & networking. In: OCEANS 2008, 15–18 September 2008, vol. 2008-Suppl., pp. 1–10 (2008)
Beerens, S.P., Ridderinkhof, H., Zimmerman, J.: An analytical study of chaotic stirring in tidal areas. Chaos Solitons Fractals 4, 1011–1029 (1994)
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This work has been supported by the National Natural Science Foundation of China (No. U1636213, 61876019, 61772070).
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Yu, X., Wang, K., Zhang, Q., Li, Y. (2019). A Quantified Accuracy Measurement Based Localization Algorithm for Autonomous Underwater Vehicles. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2019. Lecture Notes in Computer Science(), vol 11910. Springer, Cham. https://doi.org/10.1007/978-3-030-34139-8_4
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DOI: https://doi.org/10.1007/978-3-030-34139-8_4
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