Analisa Kinerja Multiple Input Multiple Output Jaringan Sensor Nirkabel dengan Demodulasi Terdistribusi
Abstract
Wireless Sensor Network has some weaknesses, such as limited power, memory and communication. Sensor is supplied with a very limited power batery. Besides, Wireless Sensor Network should also consider the available bandwidth, range sensor and sensor communication range. The main objective of this study is to analyze the performance of linear demodulation named Zero Forcing (ZF) and Minimum Mean Squared Error (MMSE) in wireless sensor network using Multiple Input and Multiple Output (MIMO) system with Signal to Noise Ratio (SNR) and Bit Error Rate (BER) as the parameter to measure the performance of endurance to noise. The application of ZF and MMSE linear demodulation with MIMO configuration to Wireless Sensor Network is constantly good, the performance of ZF to reach BER 10-3 needed SNR 21 dB, while the performance of MMSE to reach BER 10-3 needed SNR 18 dB.
References
A. E. Jayati dan Wirawan, “ Demodulasi Berdasarkan Konsensus Terdistribusi pada Jaringan Sensor Nirkabel”, Proceeding SNPs XII, 2012.
A. E. Jayati; S. Heranurweni; M. Sipan, “Analisa Kinerja Zero Forcing dengan Multiple Input Multiple Output (MIMO) pada Jaringan Sensor Nirkabel ”, Proceeding EECCIS, 2014.
Hao Zhu, Alfonso Cano dan Georgios B. Giannakis, “Distributed Consensus-Based Demodulation : Algorithm and Error Analysis”,IEEE Transactions on Wireless Communications, Vol. 9, No. 6, 2010.
I.F Akyldiz , Y. Sankarasubramaniam dan E. Cayirci (2002),’’A Survey on Sensor Network”, IEEE Commun Mag, hal. 102-114.
Jiang, M.K. Varanasi dan Li Jian (2011), “ Performance Alalysis of ZF and MMSE Equalizers for MIMO Systems : An In-Depth Study of the High SNR Regime”, IEEE Trans. On Information Theory, vol. 57, no. 4.
M.S Ullah (2011), “Performance Analysis of Wireless MIMO System by Using Alamouti’s Scheme and Maximum Ratio Combining Technique”, International Journal of Advanced Engineering Sciences and Technologies, Vol. 8.
S.K Jayaweera (2006), “ Virtual MIMO-based Cooperative Communication for Energy-Constrained Wireless Sensor Networks”, IEEE Trans. On Wireless Communication, vol. 15, pp. 984-989.
Tuan-Duc Nguyen; Olivier Berder; Olivier Sentieys (2007),”Energy-Efficiency Optimization for Cooperative (MIMO) Schemes in WSNs”, IRAMUS Thematic Informational Workshop Val Thorens.
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