eprintid: 5756 rev_number: 11 eprint_status: archive userid: 2 dir: disk0/00/00/57/56 datestamp: 2023-02-07 23:30:12 lastmod: 2023-07-11 23:30:25 status_changed: 2023-02-07 23:30:12 type: article metadata_visibility: show creators_name: Goyal, Nitin creators_name: Nain, Mamta creators_name: Singh, Aman creators_name: Abualsaud, Khalid creators_name: Alsubhi, Khalid creators_name: Ortega-Mansilla, Arturo creators_name: Zorba, Nizar creators_id: creators_id: creators_id: aman.singh@uneatlantico.es creators_id: creators_id: creators_id: arturo.ortega@uneatlantico.es creators_id: title: An Anchor-Based Localization in Underwater Wireless Sensor Networks for Industrial Oil Pipeline Monitoring ispublished: pub subjects: uneat_eng divisions: uneatlantico_produccion_cientifica divisions: uninimx_produccion_cientifica divisions: uninipr_produccion_cientifica full_text_status: public keywords: Location, mobility, oil and gas wells, optimization, underwater communication abstract: Industries 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. date: 2022-12 publication: IEEE Canadian Journal of Electrical and Computer Engineering volume: 45 number: 4 pagerange: 466-474 id_number: doi:10.1109/ICJECE.2022.3206275 refereed: TRUE issn: 2694-1783 official_url: http://doi.org/10.1109/ICJECE.2022.3206275 access: open language: en citation: Artículo Materias > Ingeniería Universidad Europea del Atlántico > Investigación > Producción Científica Universidad Internacional Iberoamericana México > Investigación > Producción Científica Universidad Internacional Iberoamericana Puerto Rico > Investigación > Producción Científica Abierto Inglés Industries 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. metadata Goyal, Nitin; Nain, Mamta; Singh, Aman; Abualsaud, Khalid; Alsubhi, Khalid; Ortega-Mansilla, Arturo y Zorba, Nizar mail SIN ESPECIFICAR, SIN ESPECIFICAR, aman.singh@uneatlantico.es, SIN ESPECIFICAR, SIN ESPECIFICAR, arturo.ortega@uneatlantico.es, SIN ESPECIFICAR (2022) An Anchor-Based Localization in Underwater Wireless Sensor Networks for Industrial Oil Pipeline Monitoring. IEEE Canadian Journal of Electrical and Computer Engineering, 45 (4). pp. 466-474. ISSN 2694-1783 document_url: http://repositorio.unib.org/id/eprint/5756/1/An_Anchor-Based_Localization_in_Underwater_Wireless_Sensor_Networks_for_Industrial_Oil_Pipeline_Monitoring.pdf