ECMS: Energy-Efficient Collaborative Multi-UAV Surveillance System for Inaccessible Regions
The evolution and popular adaptation of drone technology in diverse applications has necessitated advancement of UAV communication framework. UAVs inherently support features like mobility, flexibility, adaptive altitude, which make them a preferable option for dynamic surveillance of remote locatio...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9888102/ |
| _version_ | 1818021071999205376 |
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| author | Chetna Singhal Subhrajit Barick |
| author_facet | Chetna Singhal Subhrajit Barick |
| author_sort | Chetna Singhal |
| collection | DOAJ |
| description | The evolution and popular adaptation of drone technology in diverse applications has necessitated advancement of UAV communication framework. UAVs inherently support features like mobility, flexibility, adaptive altitude, which make them a preferable option for dynamic surveillance of remote locations. Multiple UAVs can cooperatively work to accomplish surveillance missions more efficiently. However, the intermittent network connectivity and the limited onboard energy storage impose a great challenge on UAV-assisted remote surveillance. This paper presents an Energy-efficient Collaborative Multi-UAV Surveillance (ECMS) system for surveillance of inaccessible regions. The system employs an optimal Multi-UAV Collaborative Monocular Vision (MCMV) topology to facilitate the surveillance with zero blind spot using minimum number of drones. We also propose an application-aware Multi-Path Weighted Load-balancing (MWL) routing protocol for handling congestion by distributing traffic among all available resources in UAV network and adaptively selecting the of source datarate (i.e. switching video resolution). The simulation results demonstrate that the proposed surveillance system achieves coverage with lesser number of UAVs compared to the existing systems. It also achieves higher throughput, higher packet-delivery ratio, higher residual energy of UAVs, and lower end-to-end delay. |
| first_indexed | 2024-04-14T08:13:53Z |
| format | Article |
| id | doaj.art-ab590583121c4e5a8c78b6509acf3b2a |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-14T08:13:53Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-ab590583121c4e5a8c78b6509acf3b2a2022-12-22T02:04:28ZengIEEEIEEE Access2169-35362022-01-0110958769589110.1109/ACCESS.2022.32063759888102ECMS: Energy-Efficient Collaborative Multi-UAV Surveillance System for Inaccessible RegionsChetna Singhal0https://orcid.org/0000-0002-4712-8162Subhrajit Barick1Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, IndiaDepartment of Electronics and Electrical Communication Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, IndiaThe evolution and popular adaptation of drone technology in diverse applications has necessitated advancement of UAV communication framework. UAVs inherently support features like mobility, flexibility, adaptive altitude, which make them a preferable option for dynamic surveillance of remote locations. Multiple UAVs can cooperatively work to accomplish surveillance missions more efficiently. However, the intermittent network connectivity and the limited onboard energy storage impose a great challenge on UAV-assisted remote surveillance. This paper presents an Energy-efficient Collaborative Multi-UAV Surveillance (ECMS) system for surveillance of inaccessible regions. The system employs an optimal Multi-UAV Collaborative Monocular Vision (MCMV) topology to facilitate the surveillance with zero blind spot using minimum number of drones. We also propose an application-aware Multi-Path Weighted Load-balancing (MWL) routing protocol for handling congestion by distributing traffic among all available resources in UAV network and adaptively selecting the of source datarate (i.e. switching video resolution). The simulation results demonstrate that the proposed surveillance system achieves coverage with lesser number of UAVs compared to the existing systems. It also achieves higher throughput, higher packet-delivery ratio, higher residual energy of UAVs, and lower end-to-end delay.https://ieeexplore.ieee.org/document/9888102/Unmanned aerial vehicleremote surveillanceUAV network topologymulti-path routingload balancing |
| spellingShingle | Chetna Singhal Subhrajit Barick ECMS: Energy-Efficient Collaborative Multi-UAV Surveillance System for Inaccessible Regions IEEE Access Unmanned aerial vehicle remote surveillance UAV network topology multi-path routing load balancing |
| title | ECMS: Energy-Efficient Collaborative Multi-UAV Surveillance System for Inaccessible Regions |
| title_full | ECMS: Energy-Efficient Collaborative Multi-UAV Surveillance System for Inaccessible Regions |
| title_fullStr | ECMS: Energy-Efficient Collaborative Multi-UAV Surveillance System for Inaccessible Regions |
| title_full_unstemmed | ECMS: Energy-Efficient Collaborative Multi-UAV Surveillance System for Inaccessible Regions |
| title_short | ECMS: Energy-Efficient Collaborative Multi-UAV Surveillance System for Inaccessible Regions |
| title_sort | ecms energy efficient collaborative multi uav surveillance system for inaccessible regions |
| topic | Unmanned aerial vehicle remote surveillance UAV network topology multi-path routing load balancing |
| url | https://ieeexplore.ieee.org/document/9888102/ |
| work_keys_str_mv | AT chetnasinghal ecmsenergyefficientcollaborativemultiuavsurveillancesystemforinaccessibleregions AT subhrajitbarick ecmsenergyefficientcollaborativemultiuavsurveillancesystemforinaccessibleregions |