Reliable and Resilient Connectivity and Coverage Under Localized Backhauling in UAV-IoT Networks
Multi-unmanned aerial vehicle (UAV) networks have proven to be an effective solution for delivering wireless coverage to geographically distributed Internet of Things (IoT) devices, especially in challenging environments such as remote or disaster-stricken areas. Effective placement of UAVs is cruci...
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IEEE
2025-01-01
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| Series: | IEEE Open Journal of the Communications Society |
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| Online Access: | https://ieeexplore.ieee.org/document/11062492/ |
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| author | Xingqi Wu Junaid Farooq |
| author_facet | Xingqi Wu Junaid Farooq |
| author_sort | Xingqi Wu |
| collection | DOAJ |
| description | Multi-unmanned aerial vehicle (UAV) networks have proven to be an effective solution for delivering wireless coverage to geographically distributed Internet of Things (IoT) devices, especially in challenging environments such as remote or disaster-stricken areas. Effective placement of UAVs is crucial for ensuring both performance and network resilience, as these UAVs must cover ground users while maintaining connectivity to withstand potential cyber-physical attacks or failures. This paper addresses the UAV placement optimization problem, aiming to achieve reliable coverage and robust connectivity for geographically dispersed users or IoT devices. We propose a two-step optimization framework that assigns UAVs distinct roles for either coverage or connectivity. The framework integrates placement optimization with a distributed controller design, enabling system planners to successively guide the UAVs towards optimized final destinations. This ensures that the network simultaneously satisfies coverage and connectivity requirements with a minimal number of UAVs. Simulation results demonstrate that the proposed method achieves resilient UAV formations, adapting to various user locations and surpassing comparable approaches in terms of resilience and adaptability. |
| format | Article |
| id | doaj-art-8f6cee2ba2984214bd7c09ee9d418f87 |
| institution | DOAJ |
| issn | 2644-125X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Communications Society |
| spelling | doaj-art-8f6cee2ba2984214bd7c09ee9d418f872025-08-20T03:13:38ZengIEEEIEEE Open Journal of the Communications Society2644-125X2025-01-0165795580910.1109/OJCOMS.2025.358473611062492Reliable and Resilient Connectivity and Coverage Under Localized Backhauling in UAV-IoT NetworksXingqi Wu0https://orcid.org/0009-0006-3044-6080Junaid Farooq1https://orcid.org/0000-0003-0618-9345Department of Electrical and Computer Engineering, College of Engineering and Computer Science, University of Michigan at Dearborn, Dearborn, MI, USADepartment of Electrical and Computer Engineering, College of Engineering and Computer Science, University of Michigan at Dearborn, Dearborn, MI, USAMulti-unmanned aerial vehicle (UAV) networks have proven to be an effective solution for delivering wireless coverage to geographically distributed Internet of Things (IoT) devices, especially in challenging environments such as remote or disaster-stricken areas. Effective placement of UAVs is crucial for ensuring both performance and network resilience, as these UAVs must cover ground users while maintaining connectivity to withstand potential cyber-physical attacks or failures. This paper addresses the UAV placement optimization problem, aiming to achieve reliable coverage and robust connectivity for geographically dispersed users or IoT devices. We propose a two-step optimization framework that assigns UAVs distinct roles for either coverage or connectivity. The framework integrates placement optimization with a distributed controller design, enabling system planners to successively guide the UAVs towards optimized final destinations. This ensures that the network simultaneously satisfies coverage and connectivity requirements with a minimal number of UAVs. Simulation results demonstrate that the proposed method achieves resilient UAV formations, adapting to various user locations and surpassing comparable approaches in terms of resilience and adaptability.https://ieeexplore.ieee.org/document/11062492/Unmanned aerial vehiclesbackhaulconnectivitycoveragequality-of-serviceautonomous control |
| spellingShingle | Xingqi Wu Junaid Farooq Reliable and Resilient Connectivity and Coverage Under Localized Backhauling in UAV-IoT Networks IEEE Open Journal of the Communications Society Unmanned aerial vehicles backhaul connectivity coverage quality-of-service autonomous control |
| title | Reliable and Resilient Connectivity and Coverage Under Localized Backhauling in UAV-IoT Networks |
| title_full | Reliable and Resilient Connectivity and Coverage Under Localized Backhauling in UAV-IoT Networks |
| title_fullStr | Reliable and Resilient Connectivity and Coverage Under Localized Backhauling in UAV-IoT Networks |
| title_full_unstemmed | Reliable and Resilient Connectivity and Coverage Under Localized Backhauling in UAV-IoT Networks |
| title_short | Reliable and Resilient Connectivity and Coverage Under Localized Backhauling in UAV-IoT Networks |
| title_sort | reliable and resilient connectivity and coverage under localized backhauling in uav iot networks |
| topic | Unmanned aerial vehicles backhaul connectivity coverage quality-of-service autonomous control |
| url | https://ieeexplore.ieee.org/document/11062492/ |
| work_keys_str_mv | AT xingqiwu reliableandresilientconnectivityandcoverageunderlocalizedbackhaulinginuaviotnetworks AT junaidfarooq reliableandresilientconnectivityandcoverageunderlocalizedbackhaulinginuaviotnetworks |