Optimized design and performance analysis of wearable antenna sensors for wireless body area network applications

Hamdi, A.; Nahali, Amina; Harrabi, Mokhtar; Brahem, Rafik

doi:10.1080/24751839.2023.2179909

Cited by 8 publications

(19 citation statements)

References 25 publications

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“…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%

“…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%

“…Therefore, the IoMT can be used to detect the Coronavirus symptoms. However, the deployment of wearable sensors faces several electromagnetic factors that can degrade the performance of WBAN and the stability of Wireless channels such as fading and interference effects caused by signal attenuation, human body shadowing, multipath, and energy absorption by human body tissues [9] [10]. According to the study [10], there is no doubt that the human body consists of natural absorbent layers.…”

Section: Introductionmentioning

confidence: 99%

“…However, the deployment of wearable sensors faces several electromagnetic factors that can degrade the performance of WBAN and the stability of Wireless channels such as fading and interference effects caused by signal attenuation, human body shadowing, multipath, and energy absorption by human body tissues [9] [10]. According to the study [10], there is no doubt that the human body consists of natural absorbent layers. As a result, these tissue layers act as a low-loss dielectric medium which causes attenuation of propagation signals along the human body.…”

Section: Introductionmentioning

confidence: 99%

“…This standard provides a medium access control (MAC) and physical (PHY) layers to WBAN systems. Therefore, these layers are based on rigorous wireless propagation channel models and antenna designs for different frequency bands [10]. Introduced in 2007, the IEEE 802.15.6 standard was specifically developed to meet the needs of diverse medical applications reliant on WBAN.…”

Section: Introductionmentioning

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: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

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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On the design and analysis of a miniaturized ultra‐wideband (UWB) antenna using quatrefoil‐shaped nonuniform meta‐surfaces for body‐centric communications

Pandi Ravichandran,

Velayudham,

Velayudham

2024

Int J Communication

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SummaryThe paper discusses about the design and analysis of a unique circular printed antenna with quatrefoil‐shaped slots and meta‐surface for body centric communications. The antenna design is progressed with a slots in quatrefoil shape carved on the patch placed on Taconic_LX substrate whose thickness is 1 mm. The footprint of the antenna is 32 × 24 × 1 mm3. The antenna's bandwidth is improved using defected ground. The proposed design operates from 2 to 14 GHz of the ultra‐wideband (UWB) spectrum, thus providing 143% bandwidth. The antenna exhibits good gain values of 2.5 and 6 dB at 2.45 and 5.8 GHz, respectively, with efficiency of 81% and 91%. At 2.45 GHz, the design proposed functions in on‐body mode, and at 5.8 GHz, it functions in off‐body mode. Specific absorption rate (SAR) analysis was carried out whose results are within the safety range of health measures. Bending analysis was also done to enhance the antenna's applicability. Path loss, fidelity, and group delay analysis are done. The simulated results were validated by fabricating and testing the prototype. On‐body testing of the fabricated antenna was also done at various body locations. The measured results were found to be in good agreement with the simulated results.

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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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Optimized design and performance analysis of wearable antenna sensors for wireless body area network applications

Cited by 8 publications

References 25 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

On the design and analysis of a miniaturized ultra‐wideband (UWB) antenna using quatrefoil‐shaped nonuniform meta‐surfaces for body‐centric communications

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

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