Abstract
Self-localization is an essential issue for mobile underwater acoustic networks. Recently most localization schemes focus on the static networks, while only a few methods are for MUANs which also have some drawbacks such as low accuracy, small scale, large communication overhead, etc. In this paper, we propose a hybrid localization algorithm which separates the network into some stages. Nodes in different stages will use different methods to localize themselves and both range-based and range-free methods are adopted during the procedure. The proposed algorithm can be used in a multi-hop network and can improve the localization accuracy as well as reducing the communication cost. Besides the advantages above, the algorithm does not need most of the prior knowledge about movement speed which can be more easier to use in underwater environment. Simulation results show that the proposed algorithm can balance the trade-off between the localization accuracy and the communication cost; meanwhile, the performance of the proposed algorithm is better than the previews and can perform well in the underwater environment.
Similar content being viewed by others
References
Erol Kantarci M (2011) A survey of architectures and localization techniques for underwater acoustic sensor networks. IEEE Commun Surveys Tutor 13:487–502
Andrea G (2010) Federica. An interlaced extended information filter for self-localization in sensor networks, ieee transaction on mobile computing 9:1491–1504
Baggio A, Langendoen K (2008) Monte Carlo localization for mobile wireless sensor networks. Ad Hoc Netw 6:718–733
Sheu JP, WeiKai H, Lin JC (2010) Distributed localization scheme for mobile sensor networks. IEEE Trans Mob Comput 9:516–526
Huang JF, Chang GY, Chen GH (2015) A historical-beacon-aided localization algorithm for mobile sensor networks. IEEE Trans Mob Comput 14:1109–1122
Stutters L, Liu H, Tiltman C (2008) Navigation technologies for autonomous underwater vehicles. IEEE Trans Syst 38:581–589
Miller P, Farrell J, Zhao Y (2010) Navigation technologies for autonomous underwater vehicles. IEEE J Ocean Eng 35:663–678
Rodriguez P, Bonnifait V (2012) Cherfaoui. An embedded multi-modal system for object localization and tracking, intelligent transportation systems magazine 4:42–53
Tan X, Li J (2010) Cooperative positioning in underwater sensor networks. IEEE Trans Signal Process 58:42–53
Callmer J, Skoglund M, Gustafsson F (2010) Silent localization of underwater sensors using magnetometers. J Adv Signal Process 1:1–8
Luo H, Guo Z, Dong W (2010) LDB: localization with directional beacons for sparse 3D underwater acoustic sensor networks. J Netw 5:28–38
Erol M, Vieira (2008) LDB: Localization with directional beacons for sparse 3D underwater acoustic sensor networks. Sensor Technologies and Applications, 2008. SENSORCOMM’08, pp 710–714
Tan HP, Gabor AF (2010) A wide coverage positioning system (wps) for underwater localization. IEEE international conference on communications (ICC) 2010, pp 710–714
Paull L, Saeedi S, Seto M (2014) AUV navigation and localization: a review. IEEE J Ocean Eng 39:131–149
Erol M, Vieira (2010) Auv-aided localization for underwater sensor networks, wireless algorithms. International conference on systems and applications 2010, pp 44–54
Zhou Z, Peng Z, Cui J-H (2011) Scalable localization with mobility prediction for underwater sensor networks. IEEE Trans Mob Comput 10:335–348
Acknowledgements
This work was supported by the National Natural Science Foundation of China (Grant Nos. 61571365, 61571367).
Author information
Authors and Affiliations
Corresponding author
About this article
Cite this article
Gao, J., Shen, X. & Wang, H. A hybrid localization algorithm for multi-hop mobile underwater acoustic networks. J Mar Sci Technol 22, 494–500 (2017). https://doi.org/10.1007/s00773-016-0429-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00773-016-0429-3