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المؤلفGoyal, Nitin
المؤلفNain, Mamta
المؤلفSingh, Aman
المؤلفAbualsaud, Khalid
المؤلفAlsubhi, Khalid
المؤلفOrtega-Mansilla, Arturo
المؤلفZorba, Nizar
تاريخ الإتاحة2024-03-26T11:56:47Z
تاريخ النشر2022
اسم المنشورIEEE Canadian Journal of Electrical and Computer Engineering
المصدرScopus
الرقم المعياري الدولي للكتاب26941783
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/ICJECE.2022.3206275
معرّف المصادر الموحدhttp://hdl.handle.net/10576/53528
الملخصIndustries need solutions that can automatically monitor oil leakage from deployed underwater pipelines and to rapidly report any damage. The location prediction of mineral reservoirs like oil, gas, or metals in deep water is a challenge during the extraction of these resources. Moreover, the problem of ores and mineral deposits on the seafloor comes into play. The abovementioned challenges necessitate for the deployment of underwater wireless sensor networks (UWSNs). Anchor-based localization techniques are segregated into range-free and range-based processes. Range-based schemes depend on various techniques like angle of arrival (AoA), time of arrival (ToA), time difference of arrival (TDoA), and received signal strength indicator (RSSI). In this article, the localization of these leakages is performed by using range-based metrics for calculating the distance among anchor nodes (ANs) and target nodes (TNs). This estimated distance is further optimized to minimize the estimation error. A multilateralism procedure is used to estimate the optimal position of each TN. The results exhibit that the proposed algorithm shows a high performance when compared to previous works, in terms of minimum energy consumption, lower packet loss, rapid location estimation, and lowest localization error. The benefit of using the proposed methodology greatly impacts on identifying the leakage area in mobility-assisted UWSN, where rapid reporting helps to lower the loss of resources.
راعي المشروعManuscript received 27 March 2022; revised 29 June 2022 and 25 July 2022; accepted 29 August 2022. Date of publication 29 December 2022; date of current version 4 January 2023. This project was supported by the Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah, under grant No. KEP-12-611-42, and also in part by Qatar University under Grant QUHI-CENG-21/22-1. Open Access funding provided by the Qatar National Library. (Corresponding author: Nizar Zorba.) Please see the Acknowledgment section of this article for the author affiliations. Associate Editor managing this article's review: Abd-Elhamid Taha. Digital Object Identifier 10.1109/ICJECE.2022.3206275
اللغةen
الناشرIEEE Canada
الموضوعLocation
mobility
oil and gas wells
optimization
underwater communication
العنوانAn Anchor-Based Localization in Underwater Wireless Sensor Networks for Industrial Oil Pipeline Monitoring
النوعArticle
الصفحات466-474
رقم العدد4
رقم المجلد45
dc.accessType Open Access


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