Body Area Networks: Path Loss Modeling and Antenna Design

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

doi:10.1109/iwcmc.2018.8450400

Cited by 8 publications

(11 citation statements)

References 9 publications

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“…As mentioned in table 9, for the On-body propagation environment, our wearable antenna is more efficient in terms of return loss and VSWR than other studies illustrated in this table. We notice a significant increase of return loss and VSWR of the antenna placed on the human body waist in the two studies [28] and [10]. In studies [28] and [10], authors have focused only on muscle tissue, however in our simulations, we have included the skin, muscle, and fat as part of our simulated model.…”

Section: Specific Absorption Rate Analysismentioning

confidence: 96%

“…In these, studies, the different biological tissues have been considered. Furthermore, in the study performed in [28], the authors have proposed a patch antenna design at 2.4 Ghz and an analytical channel characterization between two wearable antenna sensors placed on a simple 3D cylindrical phantom using CST microwave studio. However, in this study, only the muscle tissue was considered in the human body phantom.…”

Section: Related Workmentioning

confidence: 99%

“…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%

“…Thus, realistic channel modeling requires at least the consideration of the skin, fat, and muscle tissues of the human body. In [28], the authors considered only the muscle tissue. In our model, at 2.4 GHz, we have determined the permittivities (ε r ) and the conductivities (σ) of these three human body biological tissues according to the U.S. Air Force Report AFOSR-TR-96 defined by the Federal Communications Commission (FCC).…”

Section: On Body Channel Modelmentioning

confidence: 99%

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

Amiri

Hamdi

Meddeb³

2023

Preprint

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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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Section: Specific Absorption Rate Analysismentioning

confidence: 96%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: On Body Channel Modelmentioning

confidence: 99%

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

Amiri

Hamdi

Meddeb³

2023

Preprint

Self Cite

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“…In order to predict wave propagation in WBAN environment, the following scenario is considered: two antennas as transceiver/receiver are placed on the human body at 2.4 GHz [21]. In fact, electromagnetic waves propagate as creeping waves when the considered human body parts present a curved path or as surface waves when the considered parts are flat surfaces.…”

Section: Model For On-body Propagationmentioning

confidence: 99%

Energy Modeling of Wireless Body Area Networks with On-Body Communication Channel Characterization

Nahali

Hamdi

Gautier

et al. 2019

2019 15th International Wireless Communications &Amp; Mobile Computing Conference (IWCMC)

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Wireless sensor systems represent reliable platforms for monitoring and managing of a variety of applications for health care, civil, and military environments. As most of these systems are energy constrained, an accurate control of the energy consumption is required to well design the system. The main focus of this paper is the accurate energy modeling of Wireless Body Area Networks. To this end, we discuss the propagation channel model at 2.4 GHz between two body sensors placed on the human body. This model combines path losses in free space and on human body. Then, an analytical energy consumption model is derived by including channel characteristics such as the proposed path loss model, small scale fading and signal to noise ratio. The model is validated by measurements performed with patch antennas on human subjects. Our results provide interesting insights about the effect of on-body propagation on the global path losses. Moreover, with the proposed approach, the correlation between propagation channel features and energy efficiency is highlighted.

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Optimal and Efficient Design of WBAN Sensor Antenna System and Voxel-Based Path Loss Modeling for Internet of Wearable Things

Amiri,

Hamdi,

Meddeb

2024

SN COMPUT. SCI.

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Body Area Networks: Path Loss Modeling and Antenna Design

Cited by 8 publications

References 9 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

Energy Modeling of Wireless Body Area Networks with On-Body Communication Channel Characterization

Optimal and Efficient Design of WBAN Sensor Antenna System and Voxel-Based Path Loss Modeling for Internet of Wearable Things

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