Feature Selective Validation Approach to Effect Analysis of Coiling on the Impedance Profiles of Augmented Cables for IoT Infrastructure

  • olusegun ogundapo American University of Nigeria
Keywords: coiling, augmented cables, impedance profile, Cat 6a cables, feature selective validation


The increasing demand for Power-over-Ethernet (PoE) applications in Internet of Things (IoT) infrastructure has led to a rise in the use of augmented cables as it is cost-effective.  Augmented category 6 (Cat 6a) cable is now the standard for new installations requiring the aforesaid functions. Cat 6a cables for POE applications are required to be able to withstand the effects of repeated coiling they would be subjected to during installation. There is a paucity of literature on the effect of coiling on the impedance profiles of augmented cables across their length. Examining the effect of coiling on the impedance profiles of Cat 6a cables across their length can help determine their physical integrity and aid fault location.  Therefore, a method that can be used to examine the effect of coiling on impedance profiles of augmented cables across their length using the Feature Selective Validation (FSV) technique is provided. Three Cat 6a cables from different manufacturers were selected for the experiment. The Cat 6a cables were exposed to two rounds of coiling and uncoiling to imitate the stress anticipated from handling during installation. The FSV results revealed the cables with the least and highest variations in impedance profiles from the stress tests. The approach presented showed that it can be used to undertake an objective quantification of the effect of coiling on the impedance profiles of the cables across the length.


Zimmerman, G.A. (2021). Category 6A: the cabling of choice for new installations, white paper, CommScope, 1-8.
Vincent, T. (2023). Why Cat 6a cable is the best choice for comprehensive cabling? Available online at: www https://community.fs.com/article/why-cat6a-cable-is-the-best-choice-for-comprehensive-cabling.html. Accessed on December 18, 2023.
Tellas, R. (2018). Drilling down on the ANSI/TIA-568.2-D cabling standard. Cabling Installation and Maintenance Magazine, 28(9): 11-12.
Solomon, M. and D. Kim. (2021). Fundamentals of Communications and Networking. Jones and Bartlett Learning.
Finnegan, J. and J. Baillargeon. (2016). Cabling infrastructure for the internet of things. Cabling Installation and Maintenance Magazine, 22(11): 23-25.
Froehlich, A. (2020). Cat 6A cabling: benefits, cautions and use-cases. Cabling Installation and Maintenance Magazine, 42(2):18-19.
Shailesh, K.R. (2018). A concept of energy efficient LED lighting using Power-over-Ethernet (POE) Technology. 4th International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT), Mangalore, India, 193-194.
Jones, C. and D. Tremblay. (2019). The IEEE 802.3 bt standard’s impact on the expanding POE market place. Cabling Installation and Maintenance Magazine, 27(5): 4-6.
Hafski, K.; D. Catalot; J. Thiriet and O. Lefevre. (2021). DC building management system with IEEE 802.3 bt standard. 22nd International Conference on High Performance Switching and Routing (HPSR), Paris, France, 5-11.
Hassan, R.; A. Sagar and L. Banda. (2021). Future internet of things: a framework for next generation smart cities, IEEE 6th International Conference on Computing, Communication and Automation (ICCCA), Arad, Romania, 10-112.
McLaughlin, P. (2019). Practical impacts of bend radius on twisted pair cable. Cabling Installation and Maintenance Magazine, 27(5): 21-23.
Marchant, B. and M. Schumacher. (2023). Channel performance degradation from installation stresses. IWCS Cable and Connectivity Industry Forum, Florida, USA, 63-70.
Copp, T. and C. Oliver. (2021). How smart infrastructure can become dangerously dumb. Cabling Installation and Maintenance Magazine, 29(1): 19-24.
Zeng, Y; L. Gao; L. Wang and J.Li. (2016). Comparison analysis of calculation results for target scattering cross section based on feature selective validation. Asia-Pacific International Symposium on Electromagnetic Compatibility (APEMC). Shenzhen, 1142-1145.
Bai, J: X. Li and X. Niu. (2023). Application of the FSV method in EMC uncertainty simulation results. IEEE Letters on Electromagnetic Compatibility Practice and Applications, 5(4): 122-126.
Wang, Q and Zhao, J. (2019). LRCS model verification based on the feature selective validation method, Optics and Laser Technology, 115(4):384-389.
Fluke Networks. (2022). Datasheet: DSX-5000 Cable Analyzer. Available at: https://www.flukenetworks.com/content/datasheet-dsx-5000-cableanalyzer. Accessed on October, 20, 2023.
Fluke Networks. (2019). DSX-8000/DSX-5000 Cable Analyzer Manual. Available at: https://www.flukenetworks.com/findit/9828868. Accessed on October, 20, 2023.
Panek, C. (2019). Networking Fundamentals. John Wiley and Sons.
Xu, P.; Jiang, X; and Ming, D. (2017). Application of feature selective validation to the design of microstrip antenna. Progress in Electromagnetics Research Symposium-Spring (PIERS), St. Petersburg, Russia, 3272-3275.
Chen, Z. (2021). Feature Selective Validation (FSV) application to s-parameter models directly. IEEE 71st Electronic Components and Technology Conference (ECTC), San Diego, USA, 1831-1837.
Zhang, G. and A. Duffy. (2021). Applying FSV to the comparison of return path integrity in high speed circuit designs. IEEE Letters on Electromagnetic Compatibility Practice and Applications, 3(2): 78-81.