基于貝葉斯網(wǎng)絡的無線傳感網(wǎng)高效數(shù)據(jù)傳輸方法

劉廣怡; 李鷗; 宋濤; 孔范增

doi:10.11999/JEIT151027

基于貝葉斯網(wǎng)絡的無線傳感網(wǎng)高效數(shù)據(jù)傳輸方法

doi: 10.11999/JEIT151027 cstr: 32379.14.JEIT151027

基金項目:

國家科技重大專項(2014ZX03006003)

計量
- 文章訪問數(shù): 1648
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- PDF下載量: 603
- 被引次數(shù): 0
出版歷程
- 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: 無線環(huán)境復雜經(jīng)常導致高誤碼率的出現(xiàn)，該文結合無線傳感網(wǎng)對傳輸能耗有較高要求的特點，針對分組協(xié)議字段錯誤修復問題提出基于貝葉斯網(wǎng)絡的最大后驗修復方法MAP-BN。該方法使得傳感網(wǎng)節(jié)點在無需任何編碼的情況下可以得到向前糾錯的能力。MAP-BN算法利用貝葉斯網(wǎng)絡對分組協(xié)議字段的先驗信息進行建模，并在此基礎上利用動態(tài)規(guī)劃算法進行最大后驗概率推理，成功降低了最大后驗修復的計算復雜度。仿真和分析結果表明，MAP-BN算法具有良好的數(shù)據(jù)差錯控制能力，并可以很大程度上提升網(wǎng)絡節(jié)點傳輸數(shù)據(jù)的能效性。
- 無線傳感網(wǎng) /
- 貝葉斯網(wǎng)絡 /
- 差錯控制 /
- 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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