基于数据重要等级的油气物联网能量管理算法OA
Energy Management Algorithm for Oil and Gas IoT Based on Data Importance Level
为解决油气物联网的能量限制问题,引入能量采集技术,提出一种基于数据重要等级的油气物联网能量管理算法.该算法根据能量阈值切换传感器节点的工作模式,在能量受限的情况下基于数据的重要等级考虑是否进行数据传输,避免重要数据的延迟.并且该算法基于节点能量采集和能量消耗的比率、节点的剩余能量选举簇头,以达到在保证重要数据传输的同时延长网络寿命的目的.仿真结果表明,所提方案可以同时延长网络寿命和提高能源效率,并显示出优于现有方案.
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.
霍卓苗;孙振兴;刘苗;聂中文
东北石油大学物理与电子工程学院,黑龙江大庆 163318东北石油大学秦皇岛校区电子信息工程系,河北秦皇岛 066004东北石油大学秦皇岛校区电子信息工程系,河北秦皇岛 066004上海燃气设计研究有限公司智慧能源院,上海 200120
计算机与自动化
油气物联网能量管理簇头选择数据重要等级
internet of thingsenergy managementcluster head selectiondata importance level
《吉林大学学报（信息科学版）》 2025 (5)
960-964,5
黑龙江省自然科学基金资助项目(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)
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