AI-Enabled Ant-Routing Protocol to Secure Communication in Flying Networks. (16th September 2022)
- Record Type:
- Journal Article
- Title:
- AI-Enabled Ant-Routing Protocol to Secure Communication in Flying Networks. (16th September 2022)
- Main Title:
- AI-Enabled Ant-Routing Protocol to Secure Communication in Flying Networks
- Authors:
- Hussain, Sadoon
Sami, Ahmed
Thasin, Abida
Saad, Redhwan M. A. - Other Names:
- Forestiero Agostino Academic Editor.
- Abstract:
- Abstract : Artificial intelligence has recently been used in FANET-based routing strategies for decision-making, which is a unique paradigm. For effective communication in flying vehicles that use routing protocols to accomplish tasks collectively, aerial vehicles are used in both civic and military applications. Aerial ad hoc networks are wirelessly connected, and designing routing schemes is difficult due to the rapid mobility. Ground base stations and satellites are frequently used to interconnect UAV ad hoc networks. This paper developed a novel routing protocol with a focus on ant behavior routing, which assists in end-to-end security. For the first time in flying networks, the column mobility model is used to evaluate the performance of routing protocols. While merging with aerial ad hoc networks, AI-based networking is a relatively new field. In simulation results, AntHocNet shows better results in comparison with other contemporary routing algorithms. Pheromone update process is used for data encryption in AntHocNet. This research study is performed on network simulator-2.
- Is Part Of:
- Applied computational intelligence and soft computing. Volume 2022(2022)
- Journal:
- Applied computational intelligence and soft computing
- Issue:
- Volume 2022(2022)
- Issue Display:
- Volume 2022, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 2022
- Issue:
- 2022
- Issue Sort Value:
- 2022-2022-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-09-16
- Subjects:
- Computational intelligence -- Periodicals
Soft computing -- Periodicals
006.305 - Journal URLs:
- https://www.hindawi.com/journals/acisc/ ↗
- DOI:
- 10.1155/2022/3330168 ↗
- Languages:
- English
- ISSNs:
- 1687-9724
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 23932.xml