基于自适应容错算法的传感器节点数据关联优化

AASRI Procedia Pub Date : 2014-01-01 DOI:10.1016/j.aasri.2014.05.009

Yun Liu, Hongzhi Zhou

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引用次数: 1

摘要

基于A-SMAC协议的传感器节点数据流量动态调整节点侦听和休眠时间。基于A-SMAC协议，传感器节点发送底层错误决策。本文提出了一种节点自适应容错算法(AFTA)。根据容错判断结果，利用A-SMAC协议动态调整节点侦听和休眠时间，实现数据判断与节点动态侦听的结合。实验结果表明，该算法优于贝叶斯算法，具有较强的容错能力和较低的能耗。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimize on Data Correlation of Sensor Nodes with Adaptive Fault-tolerant Algorithm

A-SMAC protocol based on sensor node data traffic dynamic adjusting node listen and sleep time. Based on A-SMAC protocol, sensor nodes sent out the underlying error decisions .In this paper, we propose an adaptive fault-tolerant algorithm (AFTA) of node. According to the results of fault tolerant judgment, use of A-SMAC protocol dynamic adjusting node listen and sleep time, realize the combination of data judgment and node dynamic listening. Our experimental results show that the AFTA outperforms the Bayesian algorithm and exhibits strong fault-tolerant capabilities and less energy consume.

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