Journal of Jilin University (Information Science Edition) ›› 2025, Vol. 43 ›› Issue (5): 960-964.

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Energy Management Algorithm for Oil and Gas IoT Based on Data Importance Level

HUO Zhuomiao1, SUN Zhenxing2, LIU Miao2, NIE Zhongwen   

  1. 1. School of Physics and Electronic Engineering, Northeast Petroleum University, Daqing 163318, China; 2. Department of Electrical and Information Engineering, Northeast Petroleum University-Qinhuangdao, Qinhuangdao 066004, China; 3. Smart Energy Institute, Shanghai Gas Engineering Design & Research Company Limited, Shanghai 200120, China
  • Received:2023-02-12 Online:2025-09-28 Published:2025-11-19

Abstract: In order to solve the energy limitation problem of oil and gas IoT, energy harvesting technology is introduced and an energy management algorithm for oil and gas IoT is proposed based on the data importance level. The working mode of sensor nodes is changed according to the energy threshold, and whether to transmit data is based on the importance level of data under the energy constrained situation to avoid the delay of important data. The algorithm selects cluster heads based on the ratio of energy harvesting and energy consumption of nodes, and the remaining energy of nodes, so as to achieve the purpose of extending the network lifetime while ensuring the transmission of important data. 

Key words: internet of things, energy management, cluster head selection, data importance level

CLC Number: 

  • TP393