吉林大学学报（信息科学版）2025，Vol.43Issue(5)：960-964,5.
基于数据重要等级的油气物联网能量管理算法
Energy Management Algorithm for Oil and Gas IoT Based on Data Importance Level
摘要
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.关键词
油气物联网/能量管理/簇头选择/数据重要等级Key words
internet of things/energy management/cluster head selection/data importance level分类
计算机与自动化引用本文复制引用
霍卓苗,孙振兴,刘苗,聂中文..基于数据重要等级的油气物联网能量管理算法[J].吉林大学学报（信息科学版）,2025,43(5):960-964,5.基金项目
黑龙江省自然科学基金资助项目(LH2022F004) （LH2022F004）
东北石油大学优秀中青年科研创新团队基金资助项目(KYCXTDQ201901) （KYCXTDQ201901）
