Data Prediction Algorithm in Wireless Sensor Networks for Oil and Gas Pipeline Monitoring

Abstract:

Energy efficient problem of wireless sensor networks for oil and gas pipeline systems is a fundamental problem, and furthermore, data prediction algorithm can effectively reduce the communication energy consumption of WSNs. This paper firstly analyzes existing common data prediction algorithms and the data characteristics of oil and gas pipelines monitoring data. And then introduces the three-layer architecture of WSNs. Lastly, the adaptability analysis of various prediction algorithms are proposed, the analysis result shows that the accuracy of data prediction algorithm can meet requirements of oil and gas monitoring, and prediction algorithms can effectively reduce the amount of data transmission and prolong network life span.

• Periodical: Applied Mechanics and Materials (Volume 721)
• Pages: 434-437
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.721.434
• Online since: December 2014
• Authors: Hua Ping Yu, Mei Guo
• Keywords: Data Prediction, Energy Efficient, Gas Pipeline, Oil Pipeline, Wireless Sensor Network (WSN)

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DOI: 10.1016/j.adhoc.2010.10.006