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作 者:刘苗[1] 姚荣 钟晓曦 霍卓苗 孙振兴[1,3] LIU Miao;YAO Rong;ZHONG Xiaoxi;HUO Zhuomiao;SUN Zhenxing(Department of Electrical Information Engineering,Northeast Petroleum University-Qinhuangdao,Qinhuangdao 066004,China;School of Physics and Electronic Engineering,Northeast Petroleum University,Daqing 163318,China;School of Computer Science and Engineering,Northeastern University,Shenyang 110006,China)
机构地区:[1]东北石油大学秦皇岛校区电子信息工程系,河北秦皇岛066004 [2]东北石油大学物理与电子工程学院,黑龙江大庆163318 [3]东北大学计算机科学与工程学院,沈阳110006
出 处:《吉林大学学报(信息科学版)》2021年第1期15-21,共7页Journal of Jilin University(Information Science Edition)
基 金:国家自然科学基金青年基金资助项目(61601111);东北石油大学优秀中青年科研创新团队基金资助项目(KYCXTDQ201901)。
摘 要:在恶劣的环境下传感器节点能量限制一直是制约油气管道物联网性能的关键因素。网络端对端延时决定了油气管道物联网对于管道安全事故的反应时间。为此,针对油气管道物联网能量限制和端对端延时问题提出基于多目标优化的管道物联网无线路由算法,通过将节点剩余能量以及节点到汇聚节点之间的距离作为机会路由中选择候选转发节点的指标,实现了物联网中能量的均衡,通过减少数据传输跳数,达到减少网络端对端延时的目的。仿真结果表明,与经典机会路由算法相比,该算法能有效兼顾网络寿命和网络延时改善网络性能,不仅能使网络获得较长的使用周期,还能减少油气管道物联网对安全事故的反应时间。The energy limitation of sensor nodes is the key factor to restrict the performance of the oil and gas pipeline Internet of things.The end-to-end delay of the network determines the response time of the oil and gas pipeline Internet of things to pipeline accidents.For solving the problems of energy limitation and end-to-end delay,the pipeline internet of things wireless routing algorithm based on multi-object optimization is proposed.It can realize the energy balance of the Internet of things by taking the remaining energy of nodes and the distance between nodes and aggregation nodesas the index of selecting candidate forwarding nodes.The end-to-end delay of the network is reduced by decreasing the number of data transmission hops.The simulation results show that the routing algorithm can effectively improve the network performance by extending the network life and reducing the network delay compared to the classical opportunistic routing algorithm.
分 类 号:TN911.22[电子电信—通信与信息系统]
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