A modified algorithm for computation issues in UAV-enabled wireless communications

Abstract Unmanned aerial vehicles (UAVs) in wireless communication have received significant interests recently due to its low cost and flexibility in providing wireless connectivity in areas without infrastructure coverage. In this paper, we optimize the location of UAVs to maximize their coverage...

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Main Authors: Bing Hu, Xiaojian Ding, Fan Yang, Jian Liu
Format: Article
Language:English
Published: SpringerOpen 2019-12-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Online Access:https://doi.org/10.1186/s13638-019-1593-z
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author Bing Hu
Xiaojian Ding
Fan Yang
Jian Liu
author_facet Bing Hu
Xiaojian Ding
Fan Yang
Jian Liu
author_sort Bing Hu
collection DOAJ
description Abstract Unmanned aerial vehicles (UAVs) in wireless communication have received significant interests recently due to its low cost and flexibility in providing wireless connectivity in areas without infrastructure coverage. In this paper, we optimize the location of UAVs to maximize their coverage areas. We propose a modified artificial bee colony (MABC) incorporating bee number reallocation and a new search equation. In the proposed algorithm, a greater number of bees in the population are assigned to execute local searches near food sources to enhance solution accuracy, and the bees are guided by elite vectors to enable the algorithm to rapidly converge to a potentially globally optimal position. The deployment of UAVs is thus obtained. The experimental results show that the proposed algorithm achieves great improvements over the traditional algorithm.
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spelling doaj.art-0535f1bb23f74b58b95857f8b56552662022-12-21T17:26:28ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992019-12-012019111510.1186/s13638-019-1593-zA modified algorithm for computation issues in UAV-enabled wireless communicationsBing Hu0Xiaojian Ding1Fan Yang2Jian Liu3College of Modern Posts, Nanjing University of Posts and TelecommunicationsCollege of Information Engineering, Nanjing University of Finances and EconomicsCollege of Information Engineering, Nanjing University of Finances and EconomicsCollege of Information Engineering, Nanjing University of Finances and EconomicsAbstract Unmanned aerial vehicles (UAVs) in wireless communication have received significant interests recently due to its low cost and flexibility in providing wireless connectivity in areas without infrastructure coverage. In this paper, we optimize the location of UAVs to maximize their coverage areas. We propose a modified artificial bee colony (MABC) incorporating bee number reallocation and a new search equation. In the proposed algorithm, a greater number of bees in the population are assigned to execute local searches near food sources to enhance solution accuracy, and the bees are guided by elite vectors to enable the algorithm to rapidly converge to a potentially globally optimal position. The deployment of UAVs is thus obtained. The experimental results show that the proposed algorithm achieves great improvements over the traditional algorithm.https://doi.org/10.1186/s13638-019-1593-zUnmanned aerial vehiclesMobile base stationArtificial bee colonyParameter estimation
spellingShingle Bing Hu
Xiaojian Ding
Fan Yang
Jian Liu
A modified algorithm for computation issues in UAV-enabled wireless communications
EURASIP Journal on Wireless Communications and Networking
Unmanned aerial vehicles
Mobile base station
Artificial bee colony
Parameter estimation
title A modified algorithm for computation issues in UAV-enabled wireless communications
title_full A modified algorithm for computation issues in UAV-enabled wireless communications
title_fullStr A modified algorithm for computation issues in UAV-enabled wireless communications
title_full_unstemmed A modified algorithm for computation issues in UAV-enabled wireless communications
title_short A modified algorithm for computation issues in UAV-enabled wireless communications
title_sort modified algorithm for computation issues in uav enabled wireless communications
topic Unmanned aerial vehicles
Mobile base station
Artificial bee colony
Parameter estimation
url https://doi.org/10.1186/s13638-019-1593-z
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