Channel modeling and path loss characterization for in-body propagation at MICS and ISM bands

Chrysikos, Theofilos; Zisi, Iliana; Kotsopoulos, Stavros

doi:10.1109/wts.2016.7482049

Cited by 10 publications

(3 citation statements)

References 25 publications

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“…α B is done by (5), α is the path loss factor; α ∈ [3,4] for LOS WBAN and α ∈ [5, 7.4] for NLOS WBAN [6]; finally K = GtGrλ 2 (4π) 2 . Since in WBAN, there is attenuation due to human body absorption, a body loss coefficient parameter α B is added to (8), it can be written as:…”

Section: On-body Channel Propagation Based Energy Consumption Modelmentioning

confidence: 99%

“…Other research results [6], [11] have focused on path loss, shadowing and multipath characterization inside the human body for different scenarios. On the other hand, some works [3], [12] apply traditional path loss measurements to perform the channel gain between transmitter and received devices. All the previous research studies mentioned above have only focused on developing or designing a model that is invarious to communication conditions.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: On-body Channel Propagation Based Energy Consumption Modelmentioning

confidence: 99%

Section: Introductionmentioning

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)

View full text Add to dashboard Cite

show abstract

“…The interaction of microwaves with biological materials is described in detail by Vander Vorst et al [19] and more information about dielectric properties of human tissues can be found in Gabriel et al [20]- [22]. To evaluate the effects of human body tissue on the wave attenuation, the theoretical path loss model for both male and female human phantom has been presented in [23] and it has been reported that at 402.5 MHz and for the dipole antenna the far field begins at a distance of 47.5 mm from the source. In addition the high dielectric insulation layer, considered as part of the emitter antenna system, lowers the attenuation of electromagnetic fields through the body layers [15].…”

Section: Conformal Antennas Radiating At 24 Ghz and 915 Mhz And Demomentioning

confidence: 99%

In Vivo Characterization of a Wireless Telemetry Module for a Capsule Endoscopy System Utilizing a Conformal Antenna

Faerber

Cummins

Pavuluri

et al. 2018

IEEE Trans. Biomed. Circuits Syst.

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This paper describes the design, fabrication, packaging, and performance characterization of a conformal helix antenna created on the outside of a capsule endoscope designed to operate at a carrier frequency of 433 MHz within human tissue. Wireless data transfer was established between the integrated capsule system and an external receiver. The telemetry system was tested within a tissue phantom and in vivo porcine models. Two different types of transmission modes were tested. The first mode, replicating normal operating conditions, used data packets at a steady power level of 0 dBm, while the capsule was being withdrawn at a steady rate from the small intestine. The second mode, replicating the worst-case clinical scenario of capsule retention within the small bowel, sent data with stepwise increasing power levels of -10, 0, 6, and 10 dBm, with the capsule fixed in position. The temperature of the tissue surrounding the external antenna was monitored at all times using thermistors embedded within the capsule shell to observe potential safety issues. The recorded data showed, for both modes of operation, a low error transmission of 10 packet error rate and 10 bit error rate and no temperature increase of the tissue according to IEEE standards.

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Analysis and modeling of wireless channel characteristics for Internet of Things scene based on geometric features

Shi

et al. 2019

Future Generation Computer Systems

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Channel modeling and path loss characterization for in-body propagation at MICS and ISM bands

Cited by 10 publications

References 25 publications

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

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

In Vivo Characterization of a Wireless Telemetry Module for a Capsule Endoscopy System Utilizing a Conformal Antenna

Analysis and modeling of wireless channel characteristics for Internet of Things scene based on geometric features

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