Wireless Body Area Networks: Applications and Technologies

Negra, Rim; Jemili, Imen; Belghith, Abdelfettah

doi:10.1016/j.procs.2016.04.266

Cited by 297 publications

(157 citation statements)

References 20 publications

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“…But, it can be very much suitable for personal use like assisted living, health monitoring, sports, environment etc. within a modest range between 50 -70 meters [11].…”

Section: Zigbeementioning

confidence: 95%

Wireless Body Area Network: An Overview and Various Applications

Arefin¹,

Ali²,

Haque³

2017

JCC

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Over the past years a booming interest is comprehended in the field of wireless communication for the development of a monitoring system to observe human vital organs activities remotely. Wireless Body Area Network (WBAN) is such network that provides a continuous monitoring over or inside human body for a long period and can support transmission of real time traffic such as data, voice, video to observe the status of vital organs functionalities. In this paper an overview of WBAN technology and its requirements has been narrated. The aim of this paper was to offer a suitable and appropriate wireless technology for deploying WBAN. Several suitable short range wireless communication technologies that can be adopted in WBAN have also been discussed. Finally numerous applications in the field of medical and non-medical sectors using WBAN technology have been outlined.

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“…But, it can be very much suitable for personal use like assisted living, health monitoring, sports, environment etc. within a modest range between 50 -70 meters [11].…”

Section: Zigbeementioning

confidence: 95%

Wireless Body Area Network: An Overview and Various Applications

Arefin¹,

Ali²,

Haque³

2017

JCC

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“…From many possible mounting locations, three were selected as representative for WBANs applications, including smart watches, heart rate monitors, multimedia glasses, etc. [7,23,24]. These are: It is known that static scenarios are characterized by a smaller spread of propagation attenuation around the mean value and a smaller error in distance estimation using RDMs due to the absence of the small-scale fading component associated with the user's body motion, or lack of changes of its position.…”

Section: Measurement Scenariosmentioning

confidence: 99%

“…They allow for the analysis of the measurement data independently of the side of the body on which the node is located, i.e., regardless of the antenna's placement on the left or right wrist. For the DEP scenario, the user started Typically, in other works [23][24][25], the distance between measurement points was calculated on the basis of the average speed of the user. This required continuous supervision during the measurements and manual determination of the beginning and the end of the measurement data recording process.…”

Section: Measurement Scenariosmentioning

confidence: 99%

An Off-Body Narrowband and Ultra-Wide Band Channel Model for Body Area Networks in a Ferryboat Environment

2018

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Abstract:In the article an off-body narrowband and ultra-wide band channel model for body area networks in a ferryboat environment is described. Considering the limited number of publications there is a need to develop an off-body channel model, which will facilitate the design of radio links, both from the multimedia services provider and the security point of view, for body area networks in this atypical environment. A mobile heterogeneous measurement stand, using radio distance measurements, which consists of three types of devices: miniaturized mobile nodes, stationary reference nodes, and a data acquisition server, was developed. A detailed analysis of both radio channels' parameters was carried out. An analysis of system loss for off-body communication, including mean system loss, large-scale fading (corresponding to body shadowing), and small-scale fading (associated with the multipath phenomenon), both for 868 MHz narrowband and for 6489 MHz ultra-wide band channels, was performed. A statistical analysis of the obtained system loss model parameters was also carried out; good fit to the empirical data is observed.

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“…AID-N aims to sense pulse, blood pressure, temperature and ECG. Negra et al in [12] focus more on the following major medical applications: (i) telemedicine and remote patient monitoring, (ii) rehabilitation and therapy, (iii) biofeedback and (iv) ambient assisted living. The latter work discusses also the QoS requirements for the medical context.…”

Section: Related Workmentioning

confidence: 99%

Enhanced IoT-Based End-To-End Emergency and Disaster Relief System

Arbia

Alam

Kadri

et al. 2017

JSAN

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Abstract:In this paper, we present a new enhancement for an emergency and disaster relief system called Critical and Rescue Operations using Wearable Wireless sensors networks (CROW 2 ). We address the reliability challenges in setting up a wireless autonomous communication system in order to offload data from the disaster area (rescuers, trapped victims, civilians, media, etc.) back to a command center. The proposed system connects deployed rescuers to extended networks and the Internet. CROW 2 is an end-to-end system that runs the recently-proposed Optimized Routing Approach for Critical and Emergency Networks (ORACE-Net) routing protocol. The system integrates heterogeneous wireless devices (Raspberry Pi, smart phones, sensors) and various communicating technologies (WiFi IEEE 802.11n, Bluetooth IEEE 802.15.1) to enable end-to-end network connectivity, which is monitored by a cloud Internet-of-Things platform. First, we present the CROW 2 generic system architecture, which is adaptable to various technologies integration at different levels (i.e., on-body, body-to-body, off-body). Second, we implement the ORACE-Net protocol on heterogeneous devices including Android-based smart phones and Linux-based Raspberry Pi devices. These devices act as on-body coordinators to collect information from on-body sensors. The collected data is then pushed to the command center thanks to multi-hop device-to-device communication. Third, the overall CROW 2 system performance is evaluated according to relevant metrics including end-to-end link quality estimation, throughput and end-to-end delay. As a proof-of-concept, we validate the system architecture through deployment and extracted experimental results. Finally, we highlight motion detection and links' unavailability prevention based on the recorded data where the main factors (i.e., interference and noise) that affect the performance are analyzed.

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Wireless Body Area Networks: Applications and Technologies

Cited by 297 publications

References 20 publications

Wireless Body Area Network: An Overview and Various Applications

Wireless Body Area Network: An Overview and Various Applications

An Off-Body Narrowband and Ultra-Wide Band Channel Model for Body Area Networks in a Ferryboat Environment

Enhanced IoT-Based End-To-End Emergency and Disaster Relief System

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