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

Abstract

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.

Deep Learning for Resource Management in Internet of Things Networks: A Bibliometric Analysis and Comprehensive Review

“…Examples of the IoT applications under the category of smart environment are smart water quality sensing [29] - [35], smart agriculture [36] - [39], smart industrial plants, smart lighting [40] - [42], smart homes [43] - [46], and smart water supply [47] - [51]. Examples of the IoT applications under the category of smart health [52] - [55] include the monitoring of the organs or health conditions of a patient, remote surgery, diagnosing a patient's health condition(s), authentication of patients, and making real-time information about a patient's health condition available to the appropriate remote healthcare centers [56], [57]. Examples of the IoT applications under the class of smart city include intelligent transportation [58] - [62], assisted driving [63] and [64], passenger services, logistic services [65] and [66], car parking and counting [67] - [70], fleet management [71] - [73], emergency reporting services [74] - [76], and intelligent traffic control [77] - [79].…”

Performance Evaluation of an On-Body Wireless Body Network Based on an Ultra-Wideband Physical Layer under a Dynamic Channel Model

“…One of the key technologies for configuring the IoMT is wireless body area network (WBAN) technology [6][7][8][9][10][11][12][13][14][15]. 'WBAN' is a general term for a short-range wireless network 2 of 21 that is constructed with sensors and devices placed on or near the surface of the human body or inside the body and includes human communication.…”