Joint Gateway Selection and Resource Allocation for Cross-Tier Communication in Space-Air-Ground Integrated IoT Networks

Leveraging unmanned aerial vehicles (UAVs) as relays, the space-air-ground integrated Internet of Things (SAG-IoT) networks can provide wireless access services to the connected devices with high data rate, high flexibility, and wide coverage. However, besides bringing lots of benefits, the SAG-IoT...

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Main Authors: Yongpeng Shi, Yujie Xia, Ya Gao
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9310195/
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author Yongpeng Shi
Yujie Xia
Ya Gao
author_facet Yongpeng Shi
Yujie Xia
Ya Gao
author_sort Yongpeng Shi
collection DOAJ
description Leveraging unmanned aerial vehicles (UAVs) as relays, the space-air-ground integrated Internet of Things (SAG-IoT) networks can provide wireless access services to the connected devices with high data rate, high flexibility, and wide coverage. However, besides bringing lots of benefits, the SAG-IoT systems also face many challenges due to the high mobility, unreliable satellite links, and limited resources. Especially, when multiple UAVs act relays for cross-tier communication to transfer the collected data from ground network tier to the satellite tier, how to select an appropriate number of UAVs as gateways to improve system spectral efficiency (SE) is an important issue. To the best of our knowledge, it is an entirely new problem since most existing works utilize all UAVs as relay nodes and neglect the spectrum allocation. Toward this end, we present this paper to discuss the joint optimization problem of gateway selection, bandwidth allocation, and UAV deployment with the objective of maximizing the system SE. A Dinkelbach method based iterative algorithm is proposed as our solution by alternately adopting simulated annealing and successively convex programming technologies. Experimental results show that our designed joint optimization schemes are able to significantly improve the system SE and can make optimal decisions of gateway selection, bandwidth allocation, as well as UAV deployment.
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spelling doaj.art-57193cb788d14ff18932b5f2727731d62022-12-21T18:10:48ZengIEEEIEEE Access2169-35362021-01-0194303431410.1109/ACCESS.2020.30478919310195Joint Gateway Selection and Resource Allocation for Cross-Tier Communication in Space-Air-Ground Integrated IoT NetworksYongpeng Shi0https://orcid.org/0000-0001-8708-2835Yujie Xia1https://orcid.org/0000-0003-3691-0658Ya Gao2https://orcid.org/0000-0003-3505-516XHenan Key Laboratory of E-Commerce Big Data Processing and Analysis, School of Physics and Electronic Information, Luoyang Normal University, Luoyang, ChinaHenan Key Laboratory of E-Commerce Big Data Processing and Analysis, School of Physics and Electronic Information, Luoyang Normal University, Luoyang, ChinaHenan Key Laboratory of E-Commerce Big Data Processing and Analysis, School of Physics and Electronic Information, Luoyang Normal University, Luoyang, ChinaLeveraging unmanned aerial vehicles (UAVs) as relays, the space-air-ground integrated Internet of Things (SAG-IoT) networks can provide wireless access services to the connected devices with high data rate, high flexibility, and wide coverage. However, besides bringing lots of benefits, the SAG-IoT systems also face many challenges due to the high mobility, unreliable satellite links, and limited resources. Especially, when multiple UAVs act relays for cross-tier communication to transfer the collected data from ground network tier to the satellite tier, how to select an appropriate number of UAVs as gateways to improve system spectral efficiency (SE) is an important issue. To the best of our knowledge, it is an entirely new problem since most existing works utilize all UAVs as relay nodes and neglect the spectrum allocation. Toward this end, we present this paper to discuss the joint optimization problem of gateway selection, bandwidth allocation, and UAV deployment with the objective of maximizing the system SE. A Dinkelbach method based iterative algorithm is proposed as our solution by alternately adopting simulated annealing and successively convex programming technologies. Experimental results show that our designed joint optimization schemes are able to significantly improve the system SE and can make optimal decisions of gateway selection, bandwidth allocation, as well as UAV deployment.https://ieeexplore.ieee.org/document/9310195/Space-air-ground integrated IoT networkscross-tier communicationgateway selectionspectral efficiency
spellingShingle Yongpeng Shi
Yujie Xia
Ya Gao
Joint Gateway Selection and Resource Allocation for Cross-Tier Communication in Space-Air-Ground Integrated IoT Networks
IEEE Access
Space-air-ground integrated IoT networks
cross-tier communication
gateway selection
spectral efficiency
title Joint Gateway Selection and Resource Allocation for Cross-Tier Communication in Space-Air-Ground Integrated IoT Networks
title_full Joint Gateway Selection and Resource Allocation for Cross-Tier Communication in Space-Air-Ground Integrated IoT Networks
title_fullStr Joint Gateway Selection and Resource Allocation for Cross-Tier Communication in Space-Air-Ground Integrated IoT Networks
title_full_unstemmed Joint Gateway Selection and Resource Allocation for Cross-Tier Communication in Space-Air-Ground Integrated IoT Networks
title_short Joint Gateway Selection and Resource Allocation for Cross-Tier Communication in Space-Air-Ground Integrated IoT Networks
title_sort joint gateway selection and resource allocation for cross tier communication in space air ground integrated iot networks
topic Space-air-ground integrated IoT networks
cross-tier communication
gateway selection
spectral efficiency
url https://ieeexplore.ieee.org/document/9310195/
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AT yujiexia jointgatewayselectionandresourceallocationforcrosstiercommunicationinspaceairgroundintegratediotnetworks
AT yagao jointgatewayselectionandresourceallocationforcrosstiercommunicationinspaceairgroundintegratediotnetworks