Print Email Facebook Twitter RSS-based sensor localization in underwater acoustic sensor networks Title RSS-based sensor localization in underwater acoustic sensor networks Author Xu, T. (TU Delft Signal Processing Systems) Hu, Y. (TU Delft Signal Processing Systems) Zhang, Bingbing (National University of Defense Technology) Leus, G.J.T. (TU Delft Signal Processing Systems) Contributor Dong, Min (editor) Zheng, Thomas Fang (editor) Date 2016-05-19 Abstract Since the global positioning system (GPS) is not applicable underwater, source localization using wireless sensor networks (WSNs) is gaining popularity in oceanographic applications. Unlike terrestrial WSNs (TWSNs) which uses electromagnetic signaling, underwater WSNs (UWSNs) require underwater acoustic (UWA) signaling. Received signal strength (RSS)-based source localization is considered in this paper due to its practical simplicity and the constraint of low-cost sensor devices, but this area received little attention so far because of the complicated UWA transmission loss (TL) phenomena. In this paper, we address this issue and propose two novel semidefinite programming (SDP) approaches which can be solved more efficiently. The numerical results validate our proposed SDP solvers in underwater environments, and indicate that the placement of the anchor nodes influences the RSS-based localization accuracy similarly as in the terrestrial counterpart. We also highlight that adopting traditional terrestrial RSS-based localization methods will fail in underwater scenarios. Subject underwaterlocalizatioRSS-basedSDP To reference this document use: http://resolver.tudelft.nl/uuid:4a3b6e9b-999d-4e2e-a346-bdbbdbff44bf DOI https://doi.org/10.1109/icassp.2016.7472409 Publisher IEEE, Danvers, MA ISBN 978-1-4799-9988-0 Source 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): Proceedings Event 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, 2016-03-20 → 2016-03-25, Shanghai International Convention Center, Shanghai, China Bibliographical note Accepted Author Manuscript Part of collection Institutional Repository Document type conference paper Rights © 2016 T. Xu, Y. Hu, Bingbing Zhang, G.J.T. Leus Files PDF leus16icassp5.pdf 1003.1 KB Close viewer /islandora/object/uuid:4a3b6e9b-999d-4e2e-a346-bdbbdbff44bf/datastream/OBJ/view