Technical Accuracy Based on Efficiency Algorithm for Measuring Standing Wave Ratio in Wireless Sensor Network
In telecommunication, antenna impedance matching plays a crucial role in a power transmission and broadcasting system. The existing network analyzer is imprecise for antenna impedance matching. A simple and an effective new technique based on an efficiency algorithm, which uses a random network coding and a low-density parity-check code is proposed in order to measure the standing wave ratio of a broadcasting antenna system in a wireless sensor network. It is shown that the proposed technique maximizes the instant measurement accuracy of the broadcasting/transmitting power at the radio frequency antennas input. In addition, measurement and calculation results show the potentials of the proposed technical accuracy for Measuring Standing Wave Ratio.
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I. Ida, J. Takada, T. Toda, and Y. Oishi., An adaptive impedance matching system and its application to mobile antennas, in TENCON. IEEE Region 10 Conference, pp. 543 –546, Nov 2004.
El Zoghbi, M., Abou Hamad, V., Ibrahim, R., Bréard, A., Zgheib, C., Nassar, E., Zaatar, Y., A Wideband V-Shaped Coplanar Patch Antenna for 2-6 GHz Designed for Energy Harvesting and Wireless Communications, (2018) International Journal on Communications Antenna and Propagation (IRECAP), 8 (5), pp. 406-411.
S. Manatrinon; W. Chantaweesomboon; J. Chinrungrueng; K. Kaemarung, Moisture sensor based on standing wave ratio for agriculture industry, 7th International Conference of Information and Communication Technology for Embedded Systems (IC-ICTES), 2016.
National Instruments. Introduction to Network Analyzer measurements, Fundamentals and Background.
H Hutchinson, Chuck, ed. (2000). The ARRL Handbook for Radio Amateurs. Newington, CT: ARRL-the national association for Amateur Radio. Pages 19.4–19.6, 2001.
Ford, Steve (1997, April). The SWR Obsession. QST. Newington, CT: ARRL. The national association for amateur radio. Volume 78 ,(Issues 4), pp. 70–72. Retrieved 2014-11-04.
R. Ahlswede, N. Cai, S.-Y. R. Li, and R.W. Yeung, (2000)., Network information flow, IEEE Trans. on Information Theory, volume46, (Issue4), 2000.
C. Fragouli, J. Widmer, and J.-Y. L. Boudec, A network coding approach to energy efficient broadcasting, Proceedings of INFOCOM06, April 2006.
El Miloud Ar Reyouchi,Maria Hammouti,Imane Maslouhi,Kamal Ghoumid, The internet of things: network delay improvement using network coding, ICC '17 Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing, Cambridge, United Kingdom — ACM, March 22 - 23, 2017.
R. Gallager, Low-Density Parity-Check Codes, Ph.D. dissertation, Massachussets Institute of Technology, 1960.
David J.C. MacKay and Radford M. Neal, Near Shannon limit performance of low-density parity check codes, Electron. Lett. vol. 32, no. 18, pp. 1645–1646, Aug. 1996.
M. Hammouti, El. Ar-reyouchi, K. Ghoumid and A. Lichioui, (2016, March). Clustering Analysis of Wireless Sensor Network Based on Network Coding with Low-Density Parity Check. IJACSA. volume7,(Issue3),pp.137–143.
El miloud. Ar Reyouchi, Y. Chatei, K. Ghoumid, M. Hammouti, B. Hajji, Efficient coding techniques algorithm for cluster-heads communication in wireless sensor networks. AEU-International Journal of Electronics and Communications, volumes 82, Pages 294–304, December 2017.
Anusha, M., Srikanth, V., An Efficient Mac Protocol for Reducing Channel Interference and Access Delay in Cognitive Radio Wireless Mesh Networks, (2016) International Journal on Communications Antenna and Propagation (IRECAP), 6 (1), pp. 14-18.
Bani Yassein, M., Hamdan, M., Shehadeh, H., Mrayan, L., A Novel Approach for Health Monitoring System Using Wireless Sensor Network, (2017) International Journal on Communications Antenna and Propagation (IRECAP), 7 (4), pp. 271-281.
M. Singh, S. K. Bhoi, P. M. Khilar, Geometric constraint-based range-free localization scheme for wireless sensor networks, IEEE Sensors J., volumes 17, Issues 16, Paes 5350-5366, Aug. 2017.
Parulpreet Singh, Arun Khosla, AnilKumar and Mamta Khosla, Optimized localization of target nodes using single mobile anchor node in wireless sensor network, AEU - International Journal of Electronics and Communications, Vol. 91, pp.55-65. July 2018.
Jiguo Y, Yingying Q, Guangui W, Xin G. A cluster-based routing protocol for wireless sensor with non-uniform node distribution. Int J Electron Commun, pp. 66:54–61, 2012.
Bani Yassein, M., Khamayseh, Y., Hmeidi, I., Al-Dubai, A., Al-Maolegi, M., A New Energy-Efficient Hybrid and Clustering Routing for Wireless Sensor Networks, (2017) International Journal on Communications Antenna and Propagation (IRECAP), 7 (3), pp. 176-187.
Y. Zeng, L. Xu, and Z. Chen, Fault-tolerant algorithms for connectivity restoration in wireless sensor networks, Sensors, volume 16, (Issue 1), Pages 3, 2016.
M. Z. Hasan, H. Al-Rizzo, F. Al-Turjman, A Survey on Multipath Routing Protocols for QoS Assurances in Real-Time Wireless Multimedia Sensor Networks, IEEE Commun. Surv. Tutor. no. 99, Pages 1-1, 2017.
Pardeep Pathania and Mritunjay Kumar Rai, Study of Masking Effect of Cable and Practical Analysis of FM, VHF and UHF Broadcasting Antenna, Indian Journal of Science and Technology, Volume 9, (Issue 47), December 2016,
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