University of Babylon journal-جامعه بابل: العلوم الهندسیه, Volume (26), No (9), Year (2018-9) , Pages (1-10)

Title : ( An Energy Efficient Data Collection using Multiple UAVs in Wireless Sensor Network: A Survey Study )

Authors: ََAlaa Albu-Salih , Seyed Amin Hosseini Seno ,

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Abstract

Today, with scientific and technological advances in robotics, artificial intelligence, control and computers, land, air and sea vehicles, they have been considered. Unmanned aerial vehicles (UAVs) have also significantly improved and are very useful for many important applications in the business, urban and military environment. One of the important uses of UAVs in Wireless Sensor Networks (WSNs) is that devices with low energy and may not be able to communicate in large areas. Nevertheless, a UAV can provide a tool for collecting the data of WSN from one device and transmitting it to another device. This article focuses on the field of research on practical applications of UAVs as mobile collectors for wireless sensor networks. First, the investigations of the proposed UAV were studied and compared their weaknesses with each other. Then, the technical challenges of the applications of UAVs in the wireless sensor network were explored.

Keywords

, Data Collection, WSN, UAV, Energy effciency, Deadline, Optimal Trajectory.
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@article{paperid:1070276,
author = {Albu-Salih, ََAlaa and Hosseini Seno, Seyed Amin},
title = {An Energy Efficient Data Collection using Multiple UAVs in Wireless Sensor Network: A Survey Study},
journal = {University of Babylon journal-جامعه بابل: العلوم الهندسیه},
year = {2018},
volume = {26},
number = {9},
month = {September},
issn = {1992-0652},
pages = {1--10},
numpages = {9},
keywords = {Data Collection; WSN; UAV; Energy effciency; Deadline; Optimal Trajectory.},
}

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%0 Journal Article
%T An Energy Efficient Data Collection using Multiple UAVs in Wireless Sensor Network: A Survey Study
%A Albu-Salih, ََAlaa
%A Hosseini Seno, Seyed Amin
%J University of Babylon journal-جامعه بابل: العلوم الهندسیه
%@ 1992-0652
%D 2018

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