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http://hdl.handle.net/1942/36287
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DC Field | Value | Language |
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dc.contributor.author | Ahmed, G | - |
dc.contributor.author | Sheltami, T | - |
dc.contributor.author | Deriche, M | - |
dc.contributor.author | YASAR, Ansar | - |
dc.date.accessioned | 2021-12-20T07:37:18Z | - |
dc.date.available | 2021-12-20T07:37:18Z | - |
dc.date.issued | 2021 | - |
dc.date.submitted | 2021-08-25T13:37:21Z | - |
dc.identifier.citation | Ad Hoc Networks, 118 (Art N° 102519) | - |
dc.identifier.uri | http://hdl.handle.net/1942/36287 | - |
dc.description.abstract | Internet of Drones (IoD) formation offers a wide variety of applications in military and civilian environments. In highly congested terrain, dynamic and static obstacles have a critical impact on IoD performance. One of the critical challenges in IoD missions is avoiding obstacles for successfully and safely completing their tasks. The limited flight time of a drone is another challenge. Thus, IoD has to be provided by an intelligent and accurate energy-efficient collision avoidance algorithm in which IoD paths are modified online to guarantee drones safety. This paper presents an energy-efficient strategy to avoid static and dynamic collisions with minimum energy required for drones to reach their destinations safely. We develop a novel algorithm to avoid multiple static and dynamic obstacles of different sizes within a limited detection range with energy consumption minimization. To do so, the gradient-based approach is utilized in the proposed algorithm for fast and quick convergence. Furthermore, the proposed algorithm allows drones to be in hovering or backtracking states; or they can fly vertically in other cases. More importantly, the results validate the efficiency and accuracy of the proposed algorithm in a dense environment that involves high collision risk with obstacle relative speed up to 10 meters/sec. | - |
dc.description.sponsorship | The authors would like to acknowledge the support of the departments of the computer engineering and elecrical engineering at King Fahd University of Petroleum and Minerals for this work. The work was partially funded by DSR under project SB151001. | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER | - |
dc.rights | 2021 Published by Elsevier B.V. | - |
dc.subject.other | IoD formation | - |
dc.subject.other | Path planning | - |
dc.subject.other | Gradient optimization | - |
dc.subject.other | Collision avoidance | - |
dc.subject.other | Energy consumption | - |
dc.title | An energy efficient IoD static and dynamic collision avoidance approach based on gradient optimization | - |
dc.type | Journal Contribution | - |
dc.identifier.volume | 118 | - |
local.bibliographicCitation.jcat | A1 | - |
local.publisher.place | RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | 102519 | - |
dc.identifier.doi | 10.1016/j.adhoc.2021.102519 | - |
dc.identifier.isi | 000656247200002 | - |
local.provider.type | Web of Science | - |
local.uhasselt.international | yes | - |
item.fullcitation | Ahmed, G; Sheltami, T; Deriche, M & YASAR, Ansar (2021) An energy efficient IoD static and dynamic collision avoidance approach based on gradient optimization. In: Ad Hoc Networks, 118 (Art N° 102519). | - |
item.fulltext | With Fulltext | - |
item.validation | ecoom 2022 | - |
item.contributor | Ahmed, G | - |
item.contributor | Sheltami, T | - |
item.contributor | Deriche, M | - |
item.contributor | YASAR, Ansar | - |
item.accessRights | Restricted Access | - |
crisitem.journal.issn | 1570-8705 | - |
crisitem.journal.eissn | 1570-8713 | - |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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An energy efficient IoD static and dynamic collision avoidance approach based on gradient optimization.pdf Restricted Access | Published version | 5.81 MB | Adobe PDF | View/Open Request a copy |
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