A Fleet of MEC UAVs to Extend a 5G Network Slice for Video Monitoring with Low-Latency Constraints
In the last decade, video surveillance systems have become more and more popular. Thanks to a decrease in price of video camera devices and the diffusion of cheap small unmanned aerial vehicles (UAVs), video monitoring is today adopted in a wide range of application cases, from road traffic control...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-01-01
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| Series: | Journal of Sensor and Actuator Networks |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2224-2708/8/1/3 |
| _version_ | 1818608546210643968 |
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| author | Christian Grasso Giovanni Schembra |
| author_facet | Christian Grasso Giovanni Schembra |
| author_sort | Christian Grasso |
| collection | DOAJ |
| description | In the last decade, video surveillance systems have become more and more popular. Thanks to a decrease in price of video camera devices and the diffusion of cheap small unmanned aerial vehicles (UAVs), video monitoring is today adopted in a wide range of application cases, from road traffic control to precision agriculture. This leads to capture a great amount of visual material to be monitored and screened for event detection. However, information that is gathered from a platform of video monitoring UAVs may produce high-volume data, whose processing is unfeasible to be done locally by the same UAVs that perform monitoring. Moreover, because of the limited bandwidth of wireless links connecting UAVs to computing infrastructures that are installed on ground, offloading these data to edge clouds renders these platforms infeasible for video analysis applications with low-latency requirements. The target of this paper is to extend a 5G network slice for video monitoring with a Flying Ad-hoc NETwork (FANET) constituted by UAVs with multi-access edge computing (MEC) facilities (MEC UAVs), flying very close to the layer of UAVs monitoring the area of interest. A policy for mutual help among MEC UAVS is defined in order to increase the performance of the whole aerial MEC platform, so further reducing end-to-end latency between sources and actuators, and increasing system reliability. A use case is considered for a numerical analysis of the proposed platform. |
| first_indexed | 2024-12-16T14:44:22Z |
| format | Article |
| id | doaj.art-98b0b96b79664a8db5de3787f9d6d06b |
| institution | Directory Open Access Journal |
| issn | 2224-2708 |
| language | English |
| last_indexed | 2024-12-16T14:44:22Z |
| publishDate | 2019-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Sensor and Actuator Networks |
| spelling | doaj.art-98b0b96b79664a8db5de3787f9d6d06b2022-12-21T22:27:49ZengMDPI AGJournal of Sensor and Actuator Networks2224-27082019-01-0181310.3390/jsan8010003jsan8010003A Fleet of MEC UAVs to Extend a 5G Network Slice for Video Monitoring with Low-Latency ConstraintsChristian Grasso0Giovanni Schembra1Department of Electrical, Electronic and Computer Engineering (DIEEI), University of Catania V. le Doria 6, 95125 Catania, ItalyDepartment of Electrical, Electronic and Computer Engineering (DIEEI), University of Catania V. le Doria 6, 95125 Catania, ItalyIn the last decade, video surveillance systems have become more and more popular. Thanks to a decrease in price of video camera devices and the diffusion of cheap small unmanned aerial vehicles (UAVs), video monitoring is today adopted in a wide range of application cases, from road traffic control to precision agriculture. This leads to capture a great amount of visual material to be monitored and screened for event detection. However, information that is gathered from a platform of video monitoring UAVs may produce high-volume data, whose processing is unfeasible to be done locally by the same UAVs that perform monitoring. Moreover, because of the limited bandwidth of wireless links connecting UAVs to computing infrastructures that are installed on ground, offloading these data to edge clouds renders these platforms infeasible for video analysis applications with low-latency requirements. The target of this paper is to extend a 5G network slice for video monitoring with a Flying Ad-hoc NETwork (FANET) constituted by UAVs with multi-access edge computing (MEC) facilities (MEC UAVs), flying very close to the layer of UAVs monitoring the area of interest. A policy for mutual help among MEC UAVS is defined in order to increase the performance of the whole aerial MEC platform, so further reducing end-to-end latency between sources and actuators, and increasing system reliability. A use case is considered for a numerical analysis of the proposed platform.http://www.mdpi.com/2224-2708/8/1/35Gnetwork slicingMECUAVvideo-monitoringlow latency |
| spellingShingle | Christian Grasso Giovanni Schembra A Fleet of MEC UAVs to Extend a 5G Network Slice for Video Monitoring with Low-Latency Constraints Journal of Sensor and Actuator Networks 5G network slicing MEC UAV video-monitoring low latency |
| title | A Fleet of MEC UAVs to Extend a 5G Network Slice for Video Monitoring with Low-Latency Constraints |
| title_full | A Fleet of MEC UAVs to Extend a 5G Network Slice for Video Monitoring with Low-Latency Constraints |
| title_fullStr | A Fleet of MEC UAVs to Extend a 5G Network Slice for Video Monitoring with Low-Latency Constraints |
| title_full_unstemmed | A Fleet of MEC UAVs to Extend a 5G Network Slice for Video Monitoring with Low-Latency Constraints |
| title_short | A Fleet of MEC UAVs to Extend a 5G Network Slice for Video Monitoring with Low-Latency Constraints |
| title_sort | fleet of mec uavs to extend a 5g network slice for video monitoring with low latency constraints |
| topic | 5G network slicing MEC UAV video-monitoring low latency |
| url | http://www.mdpi.com/2224-2708/8/1/3 |
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