Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이형준 | * |
dc.date.accessioned | 2020-12-10T16:30:06Z | - |
dc.date.available | 2020-12-10T16:30:06Z | - |
dc.date.issued | 2020 | * |
dc.identifier.issn | 2169-3536 | * |
dc.identifier.other | OAK-28105 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/255665 | - |
dc.description.abstract | In situations where surveillance or communication infrastructure has collapsed, it is important to keep monitoring affected areas. We leverage unmanned aerial vehicles (UAVs) to collect and provide up-to-date on-site information to a data consumer in an efficient way, for later complete yet agile analysis. We propose a distributed dynamic data collection scheme for persistent surveillance and reconnaissance, using a swarm of connected UAVs with two phases of operation: 1) network formation; and 2) UAV traversal of a region of interest. The main task of a UAV is to continuously collect data within its sensing range, while the UAV swarm travels along the calculated paths. When UAVs are newly connected to form a swarm, or disconnected from an already-formed swarm, a formation phase begins. In the formation phase, UAVs become a single group and produce a compact, dynamically alternating formation called DiagonalX to cover broad areas, including boundary parts, in a fair and effective manner. During the traversal phase, each UAV swarm finds a simple yet efficient navigation path based on data freshness to cover sub-areas and continuously obtain up-to-date information evenly throughout the whole region of interest. Simulation experiments confirm that both formation and traversal procedures perform essential tasks in a distributed manner, while maintaining better data freshness than other counterpart algorithms, with a freshness factor of up to 5.77, and reasonable overheads. An additional feature, a dynamically aperiodic formation change, achieves a more stable performance. | * |
dc.language | English | * |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | * |
dc.subject | Surveillance | * |
dc.subject | Data collection | * |
dc.subject | Sensors | * |
dc.subject | Reconnaissance | * |
dc.subject | Unmanned aerial vehicles | * |
dc.subject | Navigation | * |
dc.subject | Mobile agents | * |
dc.subject | Persistent surveillance | * |
dc.subject | reconnaissance | * |
dc.subject | connected UAVs | * |
dc.subject | mobile sensor networks | * |
dc.subject | swarm exploration | * |
dc.title | Towards Persistent Surveillance and Reconnaissance Using a Connected Swarm of Multiple UAVs | * |
dc.type | Article | * |
dc.relation.volume | 8 | * |
dc.relation.index | SCIE | * |
dc.relation.index | SCOPUS | * |
dc.relation.startpage | 157906 | * |
dc.relation.lastpage | 157917 | * |
dc.relation.journaltitle | IEEE ACCESS | * |
dc.identifier.doi | 10.1109/ACCESS.2020.3019963 | * |
dc.identifier.wosid | WOS:000568251300001 | * |
dc.author.google | Cho, Jeihee | * |
dc.author.google | Sung, Jaeyi | * |
dc.author.google | Yoon, Jinyi | * |
dc.author.google | Lee, Hyungjune | * |
dc.contributor.scopusid | 이형준(22834789100) | * |
dc.date.modifydate | 20240322133709 | * |