{"title":"Fog Computing for Leak Detection in On-shore Transmission Pipelines","authors":"Shuaib Mohammed, F. Aliyu","doi":"10.1109/AECT47998.2020.9194193","DOIUrl":null,"url":null,"abstract":"Transmission Pipelines (TP) are large pipelines covering long distances that carry refined petroleum products for production sites to different states, countries, and continents. TPs are high-pressure pipelines, as such, they are subject to failure. Therefore, it is necessary to develop cost-effective techniques to monitor them with near real-time performance. In this paper, a Fog computing based leakage detection system is proposed. The system uses WSN to sense the pipeline while it uses the fog nodes to process and forward sensed data to the cloud. The proposed system, within the limit, is of our experiment reduces the average energy consumption of the sensor nodes in the network by a factor of 100, while the latency ranges from 0.025 s-120s depending on the satellite system used.","PeriodicalId":331415,"journal":{"name":"2019 International Conference on Advances in the Emerging Computing Technologies (AECT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Advances in the Emerging Computing Technologies (AECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AECT47998.2020.9194193","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Transmission Pipelines (TP) are large pipelines covering long distances that carry refined petroleum products for production sites to different states, countries, and continents. TPs are high-pressure pipelines, as such, they are subject to failure. Therefore, it is necessary to develop cost-effective techniques to monitor them with near real-time performance. In this paper, a Fog computing based leakage detection system is proposed. The system uses WSN to sense the pipeline while it uses the fog nodes to process and forward sensed data to the cloud. The proposed system, within the limit, is of our experiment reduces the average energy consumption of the sensor nodes in the network by a factor of 100, while the latency ranges from 0.025 s-120s depending on the satellite system used.