Link Quality Estimation Based on Extremely Fast Decision Tree

doi:10.13190/j.jbupt.2020-163

Journal of Beijing University of Posts and Telecommunications ›› 2021, Vol. 44 ›› Issue (3): 125-130.doi: 10.13190/j.jbupt.2020-163

• REPORTS • Previous Articles

Link Quality Estimation Based on Extremely Fast Decision Tree

LIU Lin-lan¹, XIAO Ting-zhong¹, XIA Yang², SHU Jian²

1. School of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China;
2. School of Software, Nanchang Hangkong University, Nanchang 330063, China

Received:2020-09-02 Online:2021-06-28 Published:2021-06-23

Abstract

Abstract: To estimate link quality for wireless sensor networks accurately and rapidly, an approach of link quality estimation is proposed based on improved extremely fast decision tree. After analyzing the relationship between the physical parameters and the packet reception rate in different time periods, the received signal strength indicator mean, the link quality indicator mean and the signal to noise ratio mean are selected as the link quality parameters;The evaluation index is determined by the link quality levels divided by packet reception rate. A link quality estimation model is constructed based on extremely fast decision tree, and Gini index is employed as heuristic measure of decision node;the computing method of sample number, with which decision nodes look for the best attributes, is improved in terms of the height of decision node. In scenarios of indoor, corridor and parking lot, the experiment shows that compared with fuzzy logic, very fast decision tree, the earlier extremely fast decision tree etc, the proposed method has better estimation accuracy and lower time complexity.

Key words: wireless sensor networks, link quality estimation, vary fast decision tree, extremely fast decision tree

CLC Number:

TP393

LIU Lin-lan, XIAO Ting-zhong, XIA Yang, SHU Jian. Link Quality Estimation Based on Extremely Fast Decision Tree[J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(3): 125-130.

References

[1] 刘琳岚, 许江波, 陈宇斌, 等. 基于超限学习机的WSNs链路质量评估方法[J]. 北京邮电大学学报, 2018, 41(1):134-138. Liu Linlan, Xu Jiangbo, Chen Yubin, et al. A link quali-ty estimation method for WSNs based on extreme learning machine[J]. Journal of Beijing University of Posts and Telecommunications, 2018, 41(1):134-138.
[2] Zhao Jumin, Li Dengao, Wen Haibin, et al. Load balanced and efficient data collection protocol for wireless sensor networks[J]. International Journal of High Performance Computing and Networking, 2017, 10(6):463-473.
[3] Zeng Bing, Jiang Bin, Cao Xiong, et al. A delay-constraint routing metric based on ETX for RPL[J]. Revista de la Facultad de Ingenieria, 2017, 32(1):873-884.
[4] Cerpa A, Wong J L, Potkonjak M, et al. Temporal pro-perties of low power wireless links:modeling and implications on multi-hop routing[C]//International Symposium on Mobile Ad Hoc Networking and Computing. Florence:ACM Press, 2005:414-425.
[5] Lowrance C J, Lauf A P, Kantardzic M. A fuzzy-based machine learning model for robot prediction of link quality[C]//IEEE Symposium Series on Computational Intelligence. Athens:IEEE Press, 2016:1-8.
[6] Da Costa V G T, De Leon Ferreira A C P, Junior S B. Strict very fast decision tree:a memory conservative algorithm for data stream mining[J]. Pattern Recognition Letters, 2018, 116:22-28.
[7] Manapragada C, Webb G I, Salehi M. Extremely fast decision tree[C]//International Conference on Knowledge Discovery & Data Mining. London:ACM Press, 2018:1953-1962.
[8] Benllarch M, El Hadaj S, Benhaddi M. Improve extremely fast decision tree performance through training dataset size for early prediction of heart diseases[C]//International Conference on Systems of Collaboration Big Data, Internet of Things & Security. Casablanca:IEEE Press, 2019:1-5.
[9] Khamassi I, Sayed-Mouchaweh M, Hammami M, et al. Discussion and review on evolving data streams and concept drift adapting[J]. Evolving Systems, 2018, 9(1):1-23.
[10] Singh M, Khilar P M. Mobile beacon based range free localization method for wireless sensor networks[J]. Wireless Networks, 2017, 23(4):1285-1300.

[1]	PAN Lei-na, TAO Yang, XU Xiang-yang, WANG Jin. A Secure Clustering Routing Protocol Based on Trust and Balancing Energy Consumption [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2019, 42(3): 29-36.
[2]	ZHANG Zhi-hua, LUO Shou-shan, ZHU Hong-liang, XIN Yang. A Node Capture Early Detection Scheme for WSN in Asynchronous Sleep Mode [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2018, 41(3): 32-38.
[3]	DUAN Li-guo, ZHU Li, LI Xiao-wei, LI Ai-ping. Data Compression Method of WSN Used Improved Grey Model [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2018, 41(2): 119-124.
[4]	SHU Jian, JIA Chen-hao, TAO Juan. Link Quality Prediction for Sensor Network Based on Improved LS-SVR [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2018, 41(2): 44-49.
[5]	LIU Lin-lan, XU Jiang-bo, CHEN Yu-bin, SHU Jian. A Link Quality Estimation Method for WSNs Based on Extreme Learning Machine [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2018, 41(1): 134-138.
[6]	SONG Xiao-li, GONG Yun-zhan, JIN Da-hai, LI Qiang-yi, ZHENG Rui-juan, ZHANG Ming-chuan. Nodes Deployment Based on Directed Perception Model of Wireless Sensor Networks [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(s1): 39-42.
[7]	LIU Lin-lan, HU Gang, LIU Song, LIU Wen-bo, GUO Na. Optimization of Link Quality Parameter Based on Dynamic Intuitionistic Fuzzy Multiple Attribute [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(2): 67-72.
[8]	YANG Kui-wu, CHEN Yue. A Broadcasting Copy-Removed Data Delivery Scheme for Delay Tolerant Mobile Sensor Networks [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(5): 26-32.
[9]	FENG Sheng, WU Cheng-dong, ZHANG Yun-zhou. Dynamic Localization of Mobile Robot Based on Improved APIT [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(5): 67-71,88.
[10]	LI Bin, LU Xiao-jun, JIA Xin-chun, YANG Bo. Interpolation and 0-1 Programming Based 3D Localization Algorithm in Wireless Sensor Networks [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(5): 94-98.
[11]	ZHANG Shu-guang, ZHOU Xue-hai, YANG Feng, XU Jun. En-Route Filtering Strategy Against Selective Discarding in Wireless Sensor Networks [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(1): 68-73.
[12]	JIAO Xian-long, XIAO Wei-dong, GE Bin, WANG Xiao-dong, CHEN Yu-li. Delay Efficient Broadcast for Multi-Channel Duty-Cycled Wireless Serisor Networks [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(1): 41-46.
[13]	SHA Chao, QIU Jian-mei, LU Tian-yu, WANG Ru-chuan. Data Gathering Method Based on One Mobile Sink for Balanced Energy Consumption in Sensor Networks [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(1): 102-106.
[14]	WANG Qian, GAO Zhi-peng, QIU Xue-song, WANG Xing-bin. Frequent Itemset Mining-Based Spatial Subclustering Algorithm [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2015, 38(s1): 20-23.
[15]	WANG Tao-chun, QIN Xiao-lin, DING You-wei, LIU Liang, DAI Hua. A Secure and Energy-Efficient Range Query Algorithm in Two-Tiered Wireless Sensor Networks [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2015, 38(6): 1-5,10.

Link Quality Estimation Based on Extremely Fast Decision Tree

RichHTML

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments