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dc.contributor.authorSaeed, Nasir
dc.contributor.authorCelik, Abdulkadir
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2019-07-04T08:11:29Z
dc.date.available2017-12-20T09:12:06Z
dc.date.available2019-07-04T08:11:29Z
dc.date.issued2019-03-28
dc.identifier.citationSaeed, N., Celik, A., Al-Naffouri, T. Y., & Alouini, M.-S. (2019). Localization of Energy Harvesting Empowered Underwater Optical Wireless Sensor Networks. IEEE Transactions on Wireless Communications, 18(5), 2652–2663. doi:10.1109/twc.2019.2906309
dc.identifier.doi10.1109/TWC.2019.2906309
dc.identifier.urihttp://hdl.handle.net/10754/626393
dc.description.abstractIn this paper, a received signal strength (RSS) based localization technique is developed for energy harvesting underwater optical wireless sensor networks (EH-UOWSNs), where the optical noise sources and channel impairments of seawater pose significant challenges for range estimation. Energy limitation is another major problem due to the limited battery power and difficulty in replacing or recharging the battery of an underwater sensor node. In the proposed framework, sensor nodes with insufficient battery, harvest the energy and starts communicating once it has sufficient energy storage. Network localization is carried out by measuring the RSSs of active nodes, which are modeled based on the underwater optical communication channel characteristics. Thereafter, block kernel matrices are computed for the RSS based range measurements. Unlike the traditional shortest-path approach, the proposed technique reduces the shortest path estimation for each block kernel matrix. Once the complete block kernel matrices are available, a closed form localization technique is developed to find the location of every optical sensor node in the network. Furthermore, an analytical expression for Cramer Rao lower bound (CRLB) is derived as a benchmark to compare the localization performance of the proposed technique. Finally, extensive simulations show that the proposed technique outperforms the well-known network localization techniques.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectenergy harvesting
dc.subjectUnderwater Optical Sensor Networks
dc.subjectLocalization
dc.subjectOptical wireless communications
dc.titleLocalization of Energy Harvesting Empowered Underwater Optical Wireless Sensor Networks
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalIEEE Transactions on Wireless Communications
dc.eprint.versionPre-print
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
refterms.dateFOA2018-06-14T04:37:08Z
dc.date.published-online2019-03-28
dc.date.published-print2019-05


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