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.

Highlights

  • The development of mobile radio communication systems is related to constantly growing expectations and the needs of the users

  • Miniaturization of electronic devices and technological progress in terms of increase in computational power, as well as growing expectations for various services offered by service providers, initiated the development of the Long-Term Evolution (LTE) and LTE Advanced systems, which are recognized as the fourth-generation system (4G)

  • WBANs in such an environment, the conducted research communication, where the fading is modeled by a Gaussian variable, but the model was not investigated in the ferryboat environment

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Summary

Introduction

The development of mobile radio communication systems is related to constantly growing expectations and the needs of the users. According to the data from analytical companies [4], in 2016 the number of wearable devices increased much faster than the number of smartphones, and in the years the disproportion will become significant due to the exponential growth in the number of the former. This means that the device used as a mobile phone is no longer the main telemetry device, and it will become a controller of peripheral devices located around it.

Related Work
Measurement dynamically
Measurement Scenarios
Analysis of the Results
Mean System Loss Component
Body Shadowing Component
Multipath Component
Statistical Analysis of the System Loss Model
Conclusions

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