Novel Data Compression Algorithm for Transmission Line Condition Monitoring

For the problem of data accumulation caused by massive sensor data in transmission line condition monitoring system, this paper analyzes the type and amount of data in the transmission line sensor network, compares the compression algorithms of wireless sensor network data at home and abroad, and pr...

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Published in:	Energies (Basel) Vol. 14; no. 24; p. 8275
Main Authors:	Liu, Gang, Jia, Lei, Hu, Taishan, Deng, Fangming, Chen, Zheng, Sun, Tong, Feng, Yanchong
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.12.2021
Subjects:	Algorithms condition monitoring Data compression Data transmission Dictionaries Energy consumption Humidity Internet of Things Monitoring systems Sensors transmission line Wireless networks
ISSN:	1996-1073, 1996-1073
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Abstract	For the problem of data accumulation caused by massive sensor data in transmission line condition monitoring system, this paper analyzes the type and amount of data in the transmission line sensor network, compares the compression algorithms of wireless sensor network data at home and abroad, and proposes an efficient lossless compression algorithm suitable for sensor data in transmission line linear heterogeneous networks. The algorithm combines the wavelet compression algorithm and the neighborhood index sequence algorithm. It displays a fast operation speed and requires a small amount of calculation. It is suitable for battery powered wireless sensor network nodes. By combining wavelet correlation analysis and neighborhood index sequence coding, the compression algorithm proposed in this paper can achieve a high compression rate, has strong robustness to packet loss, has high compression performance, and can help to reduce network load and the packet loss rate. Simulation results show that the proposed method achieves a high compression rate in the compression of the transmission line parameter dataset, is superior to the existing data compression algorithms, and is suitable for the compression and transmission of transmission line condition monitoring data.
AbstractList	For the problem of data accumulation caused by massive sensor data in transmission line condition monitoring system, this paper analyzes the type and amount of data in the transmission line sensor network, compares the compression algorithms of wireless sensor network data at home and abroad, and proposes an efficient lossless compression algorithm suitable for sensor data in transmission line linear heterogeneous networks. The algorithm combines the wavelet compression algorithm and the neighborhood index sequence algorithm. It displays a fast operation speed and requires a small amount of calculation. It is suitable for battery powered wireless sensor network nodes. By combining wavelet correlation analysis and neighborhood index sequence coding, the compression algorithm proposed in this paper can achieve a high compression rate, has strong robustness to packet loss, has high compression performance, and can help to reduce network load and the packet loss rate. Simulation results show that the proposed method achieves a high compression rate in the compression of the transmission line parameter dataset, is superior to the existing data compression algorithms, and is suitable for the compression and transmission of transmission line condition monitoring data.
Author	Liu, Gang Sun, Tong Feng, Yanchong Deng, Fangming Hu, Taishan Chen, Zheng Jia, Lei
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Cites_doi	10.1007/978-981-13-8578-0_19 10.1088/1742-6596/1427/1/012005 10.1109/TSG.2013.2241796 10.1109/WCNC.2010.5506541 10.1016/j.compeleceng.2014.06.008 10.1504/IJAHUC.2018.095504 10.1109/TBDATA.2017.2723563 10.1109/LCOMM.2008.080300 10.1093/bioinformatics/bty046 10.1109/TWC.2016.2644610 10.1093/comjnl/bxp128 10.1155/2012/539638 10.1109/TIE.2009.2039455 10.1145/1672308.1672311 10.1109/TII.2017.2774838 10.1145/3342555 10.1109/ICPECA47973.2019.8975686 10.1016/j.adhoc.2018.09.009 10.1109/LCOMM.2014.011214.132319 10.1109/TIE.2016.2644604
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References	Lu (ref_24) 2015; 5 Liang (ref_5) 2014; 18 Ke (ref_1) 2018; 33 Kiely (ref_7) 2010; 53 Leufken (ref_14) 2018; 34 Sandoval (ref_21) 2018; 14 ref_10 Gungor (ref_19) 2010; 57 Zhu (ref_12) 2016; 9 Lu (ref_25) 2015; 5 Moffat (ref_17) 2019; 52 Kolo (ref_9) 2015; 41 Kolo (ref_6) 2012; 2012 Uthayakumar (ref_23) 2019; 83 Liang (ref_8) 2010; 40 Sandoval (ref_20) 2017; 16 Wang (ref_22) 2019; 5 Li (ref_15) 2018; 29 Fateh (ref_27) 2013; 4 Xiao (ref_13) 2013; 11 ref_3 ref_2 Jayapandiyan (ref_16) 2020; 1427 Kong (ref_26) 2017; 64 Hao (ref_18) 2018; 55 ref_4 Marcelloni (ref_11) 2008; 12
References_xml	– ident: ref_3 doi: 10.1007/978-981-13-8578-0_19 – volume: 1427 start-page: 012005 year: 2020 ident: ref_16 article-title: Optimal Secret Text Compression Technique for Steganographic Encoding by Dynamic Ranking Algorithm publication-title: J. Phys. Conf. Ser. doi: 10.1088/1742-6596/1427/1/012005 – volume: 4 start-page: 1076 year: 2013 ident: ref_27 article-title: Wireless Network Design for Transmission Line Monitoring in Smart Grid publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2013.2241796 – ident: ref_10 doi: 10.1109/WCNC.2010.5506541 – volume: 55 start-page: 541 year: 2018 ident: ref_18 article-title: Reversible natural language watermarking using synonym substitution and arithmetic coding publication-title: Comput. Mater. Contin. – volume: 41 start-page: 275 year: 2015 ident: ref_9 article-title: Fast and efficient lossless adaptive compression scheme for wireless sensor networks publication-title: Comput. Electr. Eng. doi: 10.1016/j.compeleceng.2014.06.008 – volume: 29 start-page: 221 year: 2018 ident: ref_15 article-title: Farmland multi-parameter wireless sensor network data compression strategy publication-title: Int. J. Ad Hoc Ubiquitous Comput. doi: 10.1504/IJAHUC.2018.095504 – volume: 5 start-page: 34 year: 2019 ident: ref_22 article-title: Robust Big Data Analytics for Electricity Price Forecasting in the Smart Grid publication-title: IEEE Trans. Big Data doi: 10.1109/TBDATA.2017.2723563 – volume: 12 start-page: 411 year: 2008 ident: ref_11 article-title: A Simple Algorithm for Data Compression in Wireless Sensor Networks publication-title: IEEE Commun. Lett. doi: 10.1109/LCOMM.2008.080300 – volume: 34 start-page: 2513 year: 2018 ident: ref_14 article-title: pymzML v2. 0: Introducing a highly compressed and seekable gzip format publication-title: Bioinformatics doi: 10.1093/bioinformatics/bty046 – volume: 9 start-page: 23 year: 2016 ident: ref_12 article-title: Optimization of Compression Transmission Method for Multimedia Network Image Data publication-title: Recent Adv. Electr. Electron. Eng. – volume: 16 start-page: 1294 year: 2017 ident: ref_20 article-title: Radio-Channel Characterization of Smart Grid Substations in the 2.4GHz ISM Band publication-title: IEEE Trans. Wirel. Commun. doi: 10.1109/TWC.2016.2644610 – volume: 53 start-page: 1606 year: 2010 ident: ref_7 article-title: Adaptive Linear Filtering Compression on realtime sensor networks publication-title: Comput. J. doi: 10.1093/comjnl/bxp128 – volume: 2012 start-page: 539638 year: 2012 ident: ref_6 article-title: An Adaptive Lossless Data Compression Scheme for Wireless Sensor Networks publication-title: J. Sens. doi: 10.1155/2012/539638 – volume: 57 start-page: 3557 year: 2010 ident: ref_19 article-title: Opportunities and Challenges of Wireless Sensor Networks in Smart Grid publication-title: IEEE Trans. Ind. Electron. doi: 10.1109/TIE.2009.2039455 – volume: 33 start-page: 88 year: 2018 ident: ref_1 article-title: An Energy Efficiency Compressed Sensing Algorithm in Wireless Sensor Network of Microgrid publication-title: J. Southwest Univ. Sci. Technol. (Natl. Sci. Ed.) – volume: 40 start-page: 12 year: 2010 ident: ref_8 article-title: Minimizing energy consumptions in wireless sensor networks via two-modal transmission publication-title: ACM SIGCOMM Comput. Commun. Rev. doi: 10.1145/1672308.1672311 – ident: ref_2 – volume: 11 start-page: 54 year: 2013 ident: ref_13 article-title: An Algorithm of Wavelet Data Compression Based on Wireless Sensor Network publication-title: J. Digit. Inf. Manag. – volume: 14 start-page: 2230 year: 2018 ident: ref_21 article-title: Improving RSSI-based path-loss models accuracy for critical infrastructures: A Smart Grid substation case-study publication-title: IEEE Trans. Ind. Inform. doi: 10.1109/TII.2017.2774838 – volume: 5 start-page: 5512 year: 2015 ident: ref_25 article-title: Study on Satellite Monitoring and Alarm Calculation Algorithm of Wild Fire Near Transmission Lines publication-title: Proc. CSEE – volume: 52 start-page: 1 year: 2019 ident: ref_17 article-title: Huffman coding publication-title: ACM Comput. Surv. (CSUR) doi: 10.1145/3342555 – volume: 5 start-page: 5512 year: 2015 ident: ref_24 article-title: Research on satellite monitoring and alarm algorithm of transmission line mountain fire publication-title: Chin. J. Electr. Eng. – ident: ref_4 doi: 10.1109/ICPECA47973.2019.8975686 – volume: 83 start-page: 149 year: 2019 ident: ref_23 article-title: A new lossless neighborhood indexing sequence (NIS) algorithm for data compression in wireless sensor networks publication-title: Ad. Hoc. Netw. doi: 10.1016/j.adhoc.2018.09.009 – volume: 18 start-page: 439 year: 2014 ident: ref_5 article-title: An Efficient and Robust Data Compression Algorithm in Wireless Sensor Networks publication-title: IEEE Commun. Lett. doi: 10.1109/LCOMM.2014.011214.132319 – volume: 64 start-page: 4058 year: 2017 ident: ref_26 article-title: Cost-Efficient Placement of Communication Connections for Transmission Line Monitoring publication-title: IEEE Trans. Ind. Electron. doi: 10.1109/TIE.2016.2644604
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SubjectTerms	Algorithms condition monitoring Data compression Data transmission Dictionaries Energy consumption Humidity Internet of Things Monitoring systems Sensors transmission line Wireless networks
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Title	Novel Data Compression Algorithm for Transmission Line Condition Monitoring
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