通信学报 ›› 2017, Vol. 38 ›› Issue (Z2): 17-25.doi: 10.11959/j.issn.1000-436x.2017257
出版日期:
2017-11-01
发布日期:
2018-06-07
作者简介:
刘琳岚(1968-),女,湖南东安人,南昌航空大学教授,主要研究方向为物联网、软件工程。|许江波(1991-),男,安徽桐城人,南昌航空大学硕士生,主要研究方向为无线传感器网络。|李越(1991-),男,江西抚州人,南昌航空大学硕士生,主要研究方向为无线传感器网络。|杨志勇(1982-),男,河南开封人,南昌航空大学讲师,主要研究方向为物联网。
基金资助:
Lin-lan LIU1(),Jiang-bo XU1,Yue LI2,Zhi-yong YANG2
Online:
2017-11-01
Published:
2018-06-07
Supported by:
摘要:
在分析现有链路质量预测模型的基础上,提出基于深度信念网络的无线传感器网络链路质量预测模型。采用支持向量分类机对链路质量进行评估,获得链路质量等级;采用深度信念网络提取链路质量特征,并采用softmax预测下一时刻的链路质量。在不同实验场景下,与逻辑回归、BP神经网络以及贝叶斯网络预测模型相比,所提出模型具有更好的预测准确率。
中图分类号:
刘琳岚,许江波,李越,杨志勇. 基于深度信念网络的WSN链路质量预测[J]. 通信学报, 2017, 38(Z2): 17-25.
Lin-lan LIU,Jiang-bo XU,Yue LI,Zhi-yong YANG. Deep belief network-based link quality prediction for wireless sensor network[J]. Journal on Communications, 2017, 38(Z2): 17-25.
表4
场景1下LQP-DBN模型的MSE"
n的值 | MSE | ||||
2层RBM | 3层RBM | 4层RBM | 5层RBM | 6层RBM | |
50 | 0.312 500 | 0.322 920 | 0.328 130 | 0.343 750 | 0.307 290 |
60 | 0.402 120 | 0.333 330 | 0.312 170 | 0.349 210 | 0.328 040 |
70 | 0.306 450 | 0.295 700 | 0.301 080 | 0.317 200 | 0.370 970 |
80 | 0.284 150 | 0.311 480 | 0.371 580 | 0.377 050 | 0.322 40 |
90 | 0.338 890 | 0.288 890 | 0.305 560 | 0.366 670 | 0.277 78 |
100 | 0.305 080 | 0.338 980 | 0.265 540 | 0.378 530 | 0.344 63 |
110 | 0.373 560 | 0.344 830 | 0.310 340 | 0.327 590 | 0.304 60 |
表5
场景2下LQP-DBN模型的MSE"
n的值 | MSE | ||||
2层RBM | 3层RBM | 4层RBM | 5层RBM | 6层RBM | |
50 | 0.407 960 | 0.333 330 | 0.358 210 | 0.452 740 | 0.313 43 |
60 | 0.459 600 | 0.409 090 | 0.439 390 | 0.368 690 | 0.247 47 |
70 | 0.271 790 | 0.492 310 | 0.394 870 | 0.548 720 | 0.338 46 |
80 | 0.390 630 | 0.348 960 | 0.385 420 | 0.463 540 | 0.317 71 |
90 | 0.222 220 | 0.428 570 | 0.460 320 | 0.280 420 | 0.174 60 |
100 | 0.559 140 | 0.208 600 | 0.268 820 | 0.134 410 | 0.408 60 |
110 | 0.196 720 | 0.426 230 | 0.431 690 | 0.387 980 | 0.524 459 |
表6
场景3下LQP-DBN模型的MSE"
n的值 | MSE | ||||
2层RBM | 3层RBM | 4层RBM | 5层RBM | 6层RBM | |
50 | 0.106 740 | 0.073 034 | 0.067 416 | 0.095 506 | 0.106 740 |
60 | 0.114 290 | 0.102 860 | 0.057 143 | 0.102 860 | 0.108 570 |
70 | 0.122 090 | 0.093 023 | 0.081 395 | 0.081 395 | 0.087 209 |
80 | 0.100 590 | 0.094 675 | 0.088 757 | 0.078 313 | 0.088 757 |
90 | 0.072 289 | 0.108 430 | 0.090 361 | 0.088 757 | 0.114 460 |
100 | 0.797 550 | 0.092 025 | 0.110 430 | 0.067 485 | 0.098 160 |
110 | 0.087 50 | 0.125 00 | 0.093 750 | 0.106 250 | 0.093 750 |
[1] | 付帅, 马建峰, 李洪涛 ,等. 无线传感器网络中匿名的聚合节点选举协议[J]. 通信学报, 2015,36(2): 88-97. |
FU S , MA J F , LI H T ,et al. Anonymous aggregator election protocol for wireless sensor networks[J]. Journal on Communications, 2015,36(2): 88-97. | |
[2] | BACCOUR N , KOUB , ANIS A ,et al. Radio link quality estimation in wireless sensor networks:a survey[J]. ACM Transactions on Sensor Networks, 2012,8(4): 688-722. |
[3] | 翁丽娜, 杨杰, 柯海舟 ,等. 基于时间序列分析的链路质量预测和稳定路由算法研究[J]. 电子与信息学报, 2011,33(4): 885-890. |
WENG L N , YANG J , KE H Z ,et al. A time series analysis-based link quality prediction algorithm and its application to reliable routing[J]. Journal of Electronics & Information Technology, 2011,33(4): 885-890. | |
[4] | 尚凤军, 龚文娟, 耿哲 . 基于链路预测和网络编码的MAC机制[J]. 通信学报, 2016,37(1): 17-27. |
SHAN F J , GONG W J , GENG Z . MAC mechanism based on link prediction and network coding[J]. Journal on Communications, 2016,37(1): 17-27. | |
[5] | WENG L N , ZHANG P , FENG Z Y ,et al. Short-term link quality prediction using non-parametric time series analysis[J]. Science China Information Sciences, 2015,58(8): 1-15. |
[6] | BOANO C A , ZUNIGA M A , VOIGT T ,et al. The triangle metric:fast link quality estimation for mobile wireless sensor networks[C]// The 19th International Conference on Computer Communications and Networks. 2010: 1-7. |
[7] | WANG J , LIU Y , HE Y ,et al. QoF:towards comprehensive path quality measurement in wireless sensor networks[J]. IEEE Transactions on Parallel and Distributed Systems, 2014,25(4): 1003-1013. |
[8] | BILDEA A , ALPHAND O , ROUSSEAU F ,et al. Link quality estimation with the gilbert-elliot model for wireless sensor networks[J]. Kips Transactions Partc, 2015,88(4): 495-504. |
[9] | WEN J , AASAR Z , DARGIE W . A link quality estimation model for energy-efficient wireless sensor networks[C]// The 2015 IEEE International Conference on Communications (ICC). 2015: 6694-6700. |
[10] | WANG Y , MARTONOSI M , PEH L S . Predicting link quality using supervised learning in wireless sensor networks[J]. ACM Sigmobile Mobile Computing & Communications Review, 2007,11(3): 71-83. |
[11] | LIU T , CERPA A E . Foresee(4C):wireless link prediction using link features[C]// International Conference on Information Processing in Sensor Networks. 2011: 294-305. |
[12] | LIU T , CERPA A E . Talent:temporal adaptive link estimator with no training[C]// The 10th ACM Conference on Embedded Network Sensor Systems. 2012: 253-266. |
[13] | 郭志强, 王沁, 万亚东 ,等. 基于综合性评估的无线链路质量分类预测机制[J]. 计算机研究与发展, 2013,50(6): 1227-1238. |
GUO Z Q , WANG Q , WAN Y D ,et al. A classification prediction mechanism based on comprehensive assessment for wireless link quality[J]. Journal of Computer Research & Development, 2013,5(6): 1227-1238. | |
[14] | 舒坚, 汤津, 刘琳岚 ,等. 基于模糊支持向量回归机的WSNs链路质量预测[J]. 计算机研究与发展, 2015,52(8): 1842-1851. |
SHU J , TANG J , LIU L L ,et al. Fuzzy support vector regression-based link quality prediction model for wireless sensor networks[J]. Journal of Computer Research & Development, 2015,52(8): 1842-1851. | |
[15] | 卢记仓, 刘粉林, 罗向阳 ,等. 基于辨识性统计特征的PQ隐密图像识别算法[J]. 通信学报, 2015,36(3): 197-206. |
LU J C , LIU F L , LUO X Y ,et al. Recognition of PQ stego images based on identifiable statistical feature[J]. Journal on Communications, 2015,36(3): 197-206. | |
[16] | MOHAMMAD A K , MOHAMMAD M H . Deep belief network training improvement using elite samples minimizing free energy[J]. International Journal of Pattern Recognition & Artificial Intelligence, 2015,29(5): 1-18. |
[17] | 梁淑芬, 刘银华, 李立琛 . 基于LBP和深度学习的非限制条件下人脸识别算法[J]. 通信学报, 2014,35(6): 154-160. |
LIANG S F , LIU Y H , LI L C.Face recognition under unconstrained based on LBP and deep learning . Chinese relation extraction based on deep belief nets[J]. Journal on Communications, 2014,35(6): 154-160. | |
[18] | 张亚军, 刘宗田, 周文 . 基于深度信念网络的事件识别[J]. 电子学报, 2017,45(6): 1415-1423. |
ZHANG Y J , LIU Z T , ZHOU W . Event recognition based on deep belief network[J]. ACTA Electronica Sinica, 2017,45(6): 1415-1423. | |
[19] | 顾珊波, 邵枫, 蒋刚毅 ,等. 基于支持向量回归的立体图像客观质量评价模型[J]. 电子与信息学报, 2012,34(2): 368-374. |
GU S B , SHAO F , JIANG G Y ,et al. Objective stereoscopic image quality assessment model based on support vector regression[J]. Journal of Electronics & Information Technology, 2012,34(2): 368-374. | |
[20] | RAHHAL M M A , BAZI Y , ALHICHRI H ,et al. Deep learning approach for active classification of electrocardiogram signals[J]. Information Sciences, 2016,345(C): 340-354. |
[21] | 刘琳岚, 樊佑磊, 舒坚 ,等. 一种基于BP神经网络的WSNs链路质量预测方法[J]. 计算机研究与发展, 2011,48(Suppl): 212-215. |
LIU L L , FAN Y L , SHU J ,et al. A link quality prediction method for WSNs based on BP artificial neural network[J]. Journal of Computer Research & Development, 2011,48(Suppl): 212-215. |
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