CAJ | 학술논문

为了保证无线传感器网络中数据的完整性，针对基于LEACH路由协议的动态轮时间算法存在的问题，提出一种基于人工神经网络的数据预测算法。该动态轮时间算法中，部分簇因调整后的轮时间不足以完成数据的采集而丢失数据。数据预测算法结合传感器节点数据具有时空相关性的特点，将时空延迟算子引入神经网络模型，并通过建立的神经网络模型对数据进行预测。仿真时采用伯克利英特尔实验室的传感器数据，通过Matlab软件对模型进行测试并分析仿真结果。实验结果表明：该算法对连续多个数据的预测效果理想，预测误差始终保持在较低水平。
위료보증무선전감기망락중수거적완정성，침대기우LEACH로유협의적동태륜시간산법존재적문제，제출일충기우인공신경망락적수거예측산법。해동태륜시간산법중，부분족인조정후적륜시간불족이완성수거적채집이주실수거。수거예측산법결합전감기절점수거구유시공상관성적특점，장시공연지산자인입신경망락모형，병통과건립적신경망락모형대수거진행예측。방진시채용백극리영특이실험실적전감기수거，통과Matlab연건대모형진행측시병분석방진결과。실험결과표명：해산법대련속다개수거적예측효과이상，예측오차시종보지재교저수평。
To address at the problems that existed in dynamic round-time algorithm based on low energy adaptive clustering hierarchy protocol(LEACH-DRT),the data predictive algorithm based on artificial neural network was proposed to guarantee the in-tegrity of data in wireless sensor networks. In LEACH-DRT algorithm,part of clusters could not finish data acquisition because of lack of round time,and then it leads to data loss. In terms of to characteristics of sensor nodes with spatial-temporal correlativity,al-gorithm was introduced in spatial-temporal delay operators into neural networks model and data were predicted with the model. The Berkeley Intel lab’s sensor data streams were adopted in simulation as empirical data,the simulation results were predicted with model by Matlab software. Simulation result proved that algorithm achieved ideal effect in predicting consecutive data,and predic-tion error stayed at a lower level.