The cluster head selection algorithm in the 3D USN

Abakumov, Pavel; Koucheryavy, Andrey

doi:10.1109/icact.2014.6779003

Cited by 16 publications

(1 citation statement)

References 4 publications

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“…There are two segments of the flying ubiquitous sensor networks: terrestrial and flying. The terrestrial segment is represented as a classical ubiquitous sensor network (Abakumov and Koucheryavy 2014;Vybornova and Koucheryavy 2014;Futahi et al 2015), and the flying segment as one or several of UAV-P (Sahingoz 2014;De Freitas et al 2010;Orfanus et al 2014). Actively developing medical wireless body area networks (WBAN) are : -Wearable smart fitness electronics, which acts as a mentor in the observance of a healthy way of life (sleep, physical activity, etc.).…”

Section: Introductionmentioning

confidence: 99%

The Model Of Data Delivery From The Wireless Body Area Network To The Cloud Server With The Use Of Unmanned Aerial Vehicles

Kirichek¹

2016

ECMS 2016 Proceedings Edited by Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose

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Currently, the wireless body area network for monitoring the human body and preventing the critical situations of life are widely spread. Data from the sensors are collected in the memory of the microcomputer, and should be delivered in a cloud service for the further analysis. The classical methods for delivery via wireless interfaces require large power consumption (Wifi, LTE, 3G technology), whereas the protocols with low power consumption suggest the presence of additional gateway with the Internet, which is not always possible to implement. The paper proposes an original approach of using UAVs to deliver data from the wireless body area network to a remote cloud server. The proposed model takes into account the bandwidth, the ability of generating traffic parameters, the number of sensor nodes and the characteristics of the UAV.

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