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基于模糊评判的无线传感器网络簇间数据转发算法OA北大核心CSTPCD

Data Forwarding Algorithm Between Clusters in Wireless Sensor Networks Based on Fuzzy Evaluation

中文摘要英文摘要

由于无线传感器网络在簇间数据转发过程中消耗能量较大、转发效率低,导致数据在转发过程中容易失效.为此,提出基于模糊评判的无线传感器网络簇间数据转发算法.建立无线传感器网络模型和通信模型,明确节点的运行方式和转发数据所消耗的能量,构建模糊综合评判模型,选取梯形隶属度函数计算传感器节点的相似度和活跃度,找出最佳转发节点,完成数据转发任务.仿真结果表明,所提算法的第一个节点死亡轮数和网络失效轮数最高为 167 和 178,在仿真轮数达到 1 000轮时,该算法剩余的网络能量和节点平均能量分别为 4J和 0.01 J,证明所提算法在数据转发过程中可消耗最少的能量,高效率地完成数据转发任务.

Due to the high energy consumption and low forwarding efficiency of wireless sensor networks in the process of inter cluster data forwarding,data is prone to failure in the process of forwarding.Therefore,an inter cluster data forwarding algorithm based on fuzzy evaluation is proposed for wireless sensor networks.The wireless sensor network model and communication model are defined,the opera-tion mode of the node and the energy consumed by forwarding data are defined,a fuzzy comprehensive evaluation model is built,trape-zoidal membership function are defined to calculate the similarity and activity of sensor nodes,the best forwarding node if found,the data forwarding task is completed.The simulation results show that the value of the maximum number of dead cycles and network failure cy-cles of the first node of the proposed algorithm are 167 and 178.When the number of simulation cycles reaches 1 000,the remaining network energy and the average node energy of the algorithm are 4 J and 0.01 J respectively,which proves that the proposed algorithm can consume the least energy in the process of data forwarding and complete the task of data forwarding efficiently.

周海飞;芦翔;胡春芬

常州信息职业技术学院网络空间安全学院,江苏 常州 213164中国科学院信息工程研究所,北京 100049

计算机与自动化

无线传感器网络簇间数据转发模糊评判梯形隶属度函数节点活跃度

wireless sensor networkdata forwarding between clustersfuzzy evaluationtrapezoidal membership functionnode activity

《传感技术学报》 2024 (006)

1067-1072 / 6

2021年江苏省教育厅"青蓝工程"培养对象项目(苏教师函[2021]11号);2019年"工业互联网解决方案及安全防护技术项目"(PYPT201902G);2021年"工业互联网预测性维护创新应用"科技创新团队项目(CCIT2021STIT010202);2021年未来网络科研基金项目(苏教办科函2021(11号));2024年江苏省高层次人才培养计划(第七期"333工程")培养对象项目(苏教师函[2024]13号)

10.3969/j.issn.1004-1699.2024.06.018

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