基于贝叶斯网络的无线传感网高效数据传输方法

刘广怡; 李鸥; 宋涛; 孔范增

doi:10.11999/JEIT151027

基于贝叶斯网络的无线传感网高效数据传输方法

doi: 10.11999/JEIT151027

基金项目:

国家科技重大专项(2014ZX03006003)

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- 文章访问数: 1556
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- 被引次数: 0
出版历程
- 收稿日期: 2015-07-10
- 修回日期: 2016-02-25
- 刊出日期: 2016-06-19

Energy-efficiency Data Transmission Method in WSN Based on Bayesian Network

Funds:

The National Science and Technology Major Projects of China (2014ZX03006003)

摘要

摘要: 无线环境复杂经常导致高误码率的出现，该文结合无线传感网对传输能耗有较高要求的特点，针对分组协议字段错误修复问题提出基于贝叶斯网络的最大后验修复方法MAP-BN。该方法使得传感网节点在无需任何编码的情况下可以得到向前纠错的能力。MAP-BN算法利用贝叶斯网络对分组协议字段的先验信息进行建模，并在此基础上利用动态规划算法进行最大后验概率推理，成功降低了最大后验修复的计算复杂度。仿真和分析结果表明，MAP-BN算法具有良好的数据差错控制能力，并可以很大程度上提升网络节点传输数据的能效性。
- 无线传感网 /
- 贝叶斯网络 /
- 差错控制 /
- 能量有效性
Abstract: Complexity of wireless environment often poses high bit error problems. For that reason, and also concerning about the great demands on transmission energy consumption for the WSN, a Maximum A Posteriori method based on Bayesian Network (MAP-BN) is proposed for fixing the wrong protocol fields in packets, which is also according to the transmission characteristics of WSN. MAP-BN makes the nodes in WSN have the ability of forward-error-correction without any prior coding before transmitting a packet. To achieve that, Bayesian Network is used to modeling prior information of protocol fields in packets, and Maximum A Posteriori inference which involved a dynamic programming algorithm is used to reduce the computational complexity successfully. The simulation results show that MAP-BN performance is pretty good in the aspect of error control and energy-efficiency.
- Wireless Sensor Networks (WSN) /
- Bayesian Network (BN) /
- Error-control /
- Energy-efficiency

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参考文献(19)

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