Optimized Reception Sensitivity of WBAN Sensors Exploiting Network Coding and Modulation Techniques in an Advanced NB-IoT

被引:8
作者
Ar-Reyouchi, El Miloud [1 ]
Ghoumid, Kamal [2 ]
Yahiaoui, Reda [3 ]
Elmazria, Omar [4 ]
机构
[1] ETS, Dept Telecommun & Comp Sci, Madrid 28014, Spain
[2] Mohammed First Univ, ENSAO, Dept Elect Informat & Telecommun, Oujda 60000, Morocco
[3] Franche Comte Univ, NanoMed Lab, Imagery, Therapeut, F-25000 Besancon, France
[4] Univ Lorraine, Inst Jean Lamour, CNRS, F-54000 Nancy, France
关键词
Sensitivity; Receivers; Wireless communication; Wireless sensor networks; Modulation; Body area networks; Throughput; Sensibility; narrowband Internet of Things; modulation techniques; wireless medical sensor networks; linear network coding; ENERGY-EFFICIENT;
D O I
10.1109/ACCESS.2022.3163314
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The sensitivity of the maximum useable data is the most significant characteristic that describes the quality of the Narrowband Internet of Things (NB-IoT) of Medical sensors (MS) receivers. It becomes the most important performance factor in mobile wireless communication networks, particularly wireless body area networks (WBAN). Our interest is in level sensitivity using modulation techniques and subcarrier spacing(SS) to achieve good Bit Error Rate (BER) performance, throughput, and power efficiencies for WBAN communication Systems in an advanced NB-IoT. We propose an efficient coding technique using Linear Network Coding (LNC) to improve sensitivity by considering several factors without affecting the human body. We also present an experimentally analyzed overview of the reception sensibility. Our research has revealed that the receiver sensitivity (minimum detectable signal level) and throughput of the proposed approach (PA) are much better than the conventional approach (CA), achieving more than 14.3% and 55%, respectively, compared to the CA. Also, the PA has improved the modulation types by approximately 45% to provide more throughput and reliability.
引用
收藏
页码:35784 / 35794
页数:11
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