A Wireless Body Area Network of Intelligent Sensors for Biomedical Applications: Design and Performance Analysis

Hamdi, A.; Nahali, Amina; Braham, Rafik

doi:10.23919/wmnc56391.2022.9954306

“…Therefore, the authors consider only the muscle tissue. In addition, in the studies conducted by Hamdi et al [29] and Hamdi et al . [10], the authors have changed the conductivity and permittivity of the human body muscle randomly without taking into account the realistic biological properties of the conductivities and permittivities of each human body tissue.…”

Section: Related Workmentioning

confidence: 95%

“…Also, they proposed similar analytical and experimental contributions. Although they are innovative approaches, in these studies [10,28,29], the authors did not take into consideration the SAR study to examine the behavior of the different antenna sensors in the presence of a human body and especially the impact of power absorption on the body safety, also they did not employ the skin, fat, and muscle biological tissue for exact and realistic channel modeling. Therefore, the authors consider only the muscle tissue.…”

Section: Related Workmentioning

confidence: 99%

“…In the same context, more recently, in studies conducted in [10] and [29], the authors put forward an analytical and experimental approach for on-body path loss and path gain channel modeling between two wearable antenna sensors for Wireless Body Area Networks. In general, these studies [10,28,29] have some common points, because the authors have developed an on-body channel model based on a previous voxel-based channel model proposed in Hall et al [30] and Alves et al [31]. Also, they proposed similar analytical and experimental contributions.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Design of wearable antenna sensors and Path loss Modeling for Internet of Wearable Things applications

Amiri

¹

,

Hamdi

²

,

Meddeb³

2023

Preprint

Self Cite

0

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The Internet of Wearable Things (IoWT) is a revolutionary technology of Wireless Body Area Networks (WBAN). IoWT applications are widely employed in diverse sectors including medical, civil, and military domains. In these emerging applications, human bodies are equipped with wearable and interconnected sensors, which can be used on, inside, or around the human body. However, the deployment of these devices in close proximity of the human body faces several electromagnetic factors such as channel fading due to several reasons like energy absorption, reflection, multipath, and shadowing by the body. These electromagnetic phenomena can degrade the quality of the communication link budget between wearable sensor systems in WBAN. Therefore, investigation in channel modeling between wearable sensors has become a major challenge in Wireless Body Area Networks (WBAN), especially when using these devices for real-time monitoring and remote control of vital signs and physiological data of patients in medical applications. This paper presents a novel approach of a rigorous and effective mathematical voxel-based channel model for channel modeling between wearable wireless antenna sensors in free space and human body environments. Also, this work presents a design flow and performance analysis of the proposed 3D-voxel human body model and the designed wearable antenna at 2.4 GHz. Moreover, a performance evaluation studies between IEEE 802.15.6 CM3 channel model based on the proposed analytical voxel based-human body at 2.4 GHz for various distances between the coordinator and the on-body wearable antenna sensors are presented. These studies reveal a good agreement between IEEE 802.15.6 CM3A and our model.

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“…In the same context, more recently, in studies conducted in 29,10 , the authors put forward an analytical and experimental approach for on-body path loss and path gain channel modeling between two wearable antenna sensors for Wireless Body Area Networks. In general, these studies 28,29,10 have some common points, because the authors have developed an on-body channel model based on a previous voxel-based channel model proposed in Hall et al 30 and Alves et al 31 . Also, they proposed similar analytical and experimental contributions.…”

Section: Related Workmentioning

confidence: 99%

“…Also, they proposed similar analytical and experimental contributions. Although they are innovative approaches, in these studies 28,29,10 , the authors did not take into consideration the SAR study to examine the behavior of the different antenna sensors in the presence of a human body and especially the impact of power absorption on the body safety, also they did not employ the skin, fat, and muscle biological tissue for exact and realistic channel modeling. Therefore, the authors consider only the muscle tissue.…”

Section: Related Workmentioning

confidence: 99%

Design of wearable antenna sensors and Path loss Modeling for Internet of Wearable Things applications

Amiri

¹

,

Hamdi

²

,

Meddeb

³

2023

Preprint

0

View full text Add to dashboard Cite

The Internet of Wearable Things (IoWT) is a revolutionary technology of Wireless Body Area Networks (WBAN). IoWT applications are widely employed in diverse sectors including medical, civil, and military domains. In these emerging applications, human bodies are equipped with wearable and interconnected sensors, which can be used on, inside, or around the human body. However, the deployment of these devices in close proximity of the human body faces several electromagnetic factors such as channel fading due to several reasons like energy absorption, reflection, multipath, and shadowing by the body. These electromagnetic phenomena can degrade the quality of the communication link budget between wearable sensor systems in WBAN. Therefore, investigation in channel modeling between wearable sensors has become a major challenge in Wireless Body Area Networks (WBAN), especially when using these devices for real-time monitoring and remote control of vital signs and physiological data of patients in medical applications. This paper presents a novel approach of a rigorous and effective mathematical voxel-based channel model for channel modeling between wearable wireless antenna sensors in free space and human body environments. Also, this work presents a design flow and performance analysis of the proposed 3D-voxel human body model and the designed wearable antenna at 2.4 GHz. Moreover, a performance evaluation studies between IEEE 802.15.6 CM3 channel model based on the proposed analytical voxel based-human body at 2.4 GHz for various distances between the coordinator and the on-body wearable antenna sensors are presented. These studies reveal a good agreement between IEEE 802.15.6 CM3A and our model.

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Optimal and Efficient Sensor Design for 5G-Based Internet-of-Body Healthcare Monitoring Network

Hamdi,

Nahali,

Brahem

2024

J Netw Syst Manage

2

0

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A Wireless Body Area Network of Intelligent Sensors for Biomedical Applications: Design and Performance Analysis

Cited by 5 publications

References 23 publications

Design of wearable antenna sensors and Path loss Modeling for Internet of Wearable Things applications

Design of wearable antenna sensors and Path loss Modeling for Internet of Wearable Things applications

Design of wearable antenna sensors and Path loss Modeling for Internet of Wearable Things applications

Optimal and Efficient Sensor Design for 5G-Based Internet-of-Body Healthcare Monitoring Network

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