Optimized Routing of UAVs Using Bio-Inspired Algorithm in FANET: A Systematic Review
Flying Ad hoc Network (FANET) is a self-organizing wireless network that constitutes swarms of flying nodes, namely Unmanned Aerial Vehicles (UAV), and communicates in close proximity. It has various distinguishing characteristics that set it apart from other ad hoc networks, posing some issues, par...
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| Format: | Article |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10041916/ |
| _version_ | 1797900248742363136 |
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| author | T. Rehannara Beegum Mohd Yamani Idna Idris Mohamad Nizam Bin Ayub Hisham A. Shehadeh |
| author_facet | T. Rehannara Beegum Mohd Yamani Idna Idris Mohamad Nizam Bin Ayub Hisham A. Shehadeh |
| author_sort | T. Rehannara Beegum |
| collection | DOAJ |
| description | Flying Ad hoc Network (FANET) is a self-organizing wireless network that constitutes swarms of flying nodes, namely Unmanned Aerial Vehicles (UAV), and communicates in close proximity. It has various distinguishing characteristics that set it apart from other ad hoc networks, posing some issues, particularly in routing. UAVs are highly dynamic and have frequent topology changes. Hence, the network urges an efficient routing technique to coordinate the node swarms and enhance the evaluation metrics of the network. The biological behavior of various living organisms, such as animals, insects, microbes, and humans, inspires researchers to solve various routing problems in ad hoc networks. Decentralized self-organized swarms of UAVs closely resemble the biological system. Therefore, the Bio-Inspired Algorithms (BIA) resolve a wide range of routing challenges in FANET. A Systematic Literature Review (SLR) is adopted to survey FANET routing methods based on non-hybrid and hybrid BIAs to properly comprehend the existing bio-inspired strategies used in FANET routing. The review will be beneficial for the researchers in the specified area. To our knowledge, no SLR has been conducted about the FANET routing protocol that employs BIA. This paper examines 1) the characteristics and features of existing routing algorithms, 2) the need of both non-hybrid and hybrid BIA for effective and optimal routing, 3) an analysis of the method’s simulation tools, evaluation metrics and mobility models, 4) the current issues and scope of the study related to the specified method. |
| first_indexed | 2024-04-10T08:43:02Z |
| format | Article |
| id | doaj.art-d67a8e1d6b4f411f8d4ec71ee67d72f6 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-10T08:43:02Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-d67a8e1d6b4f411f8d4ec71ee67d72f62023-02-23T00:00:46ZengIEEEIEEE Access2169-35362023-01-0111155881562210.1109/ACCESS.2023.324406710041916Optimized Routing of UAVs Using Bio-Inspired Algorithm in FANET: A Systematic ReviewT. Rehannara Beegum0https://orcid.org/0000-0003-3619-2705Mohd Yamani Idna Idris1https://orcid.org/0000-0003-4894-0838Mohamad Nizam Bin Ayub2https://orcid.org/0000-0003-2504-0810Hisham A. Shehadeh3https://orcid.org/0000-0003-4054-6561Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, MalaysiaFaculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, MalaysiaFaculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, MalaysiaDepartment of Computer Information System, Faculty of Computer Science and Informatics, Amman Arab University, Amman, JordanFlying Ad hoc Network (FANET) is a self-organizing wireless network that constitutes swarms of flying nodes, namely Unmanned Aerial Vehicles (UAV), and communicates in close proximity. It has various distinguishing characteristics that set it apart from other ad hoc networks, posing some issues, particularly in routing. UAVs are highly dynamic and have frequent topology changes. Hence, the network urges an efficient routing technique to coordinate the node swarms and enhance the evaluation metrics of the network. The biological behavior of various living organisms, such as animals, insects, microbes, and humans, inspires researchers to solve various routing problems in ad hoc networks. Decentralized self-organized swarms of UAVs closely resemble the biological system. Therefore, the Bio-Inspired Algorithms (BIA) resolve a wide range of routing challenges in FANET. A Systematic Literature Review (SLR) is adopted to survey FANET routing methods based on non-hybrid and hybrid BIAs to properly comprehend the existing bio-inspired strategies used in FANET routing. The review will be beneficial for the researchers in the specified area. To our knowledge, no SLR has been conducted about the FANET routing protocol that employs BIA. This paper examines 1) the characteristics and features of existing routing algorithms, 2) the need of both non-hybrid and hybrid BIA for effective and optimal routing, 3) an analysis of the method’s simulation tools, evaluation metrics and mobility models, 4) the current issues and scope of the study related to the specified method.https://ieeexplore.ieee.org/document/10041916/Bio-inspired algorithm (BIA)flying ad hoc networks (FANET)metaheuristic optimizationsystematic literature review (SLR)unmanned aerial vehicle (UAV) |
| spellingShingle | T. Rehannara Beegum Mohd Yamani Idna Idris Mohamad Nizam Bin Ayub Hisham A. Shehadeh Optimized Routing of UAVs Using Bio-Inspired Algorithm in FANET: A Systematic Review IEEE Access Bio-inspired algorithm (BIA) flying ad hoc networks (FANET) metaheuristic optimization systematic literature review (SLR) unmanned aerial vehicle (UAV) |
| title | Optimized Routing of UAVs Using Bio-Inspired Algorithm in FANET: A Systematic Review |
| title_full | Optimized Routing of UAVs Using Bio-Inspired Algorithm in FANET: A Systematic Review |
| title_fullStr | Optimized Routing of UAVs Using Bio-Inspired Algorithm in FANET: A Systematic Review |
| title_full_unstemmed | Optimized Routing of UAVs Using Bio-Inspired Algorithm in FANET: A Systematic Review |
| title_short | Optimized Routing of UAVs Using Bio-Inspired Algorithm in FANET: A Systematic Review |
| title_sort | optimized routing of uavs using bio inspired algorithm in fanet a systematic review |
| topic | Bio-inspired algorithm (BIA) flying ad hoc networks (FANET) metaheuristic optimization systematic literature review (SLR) unmanned aerial vehicle (UAV) |
| url | https://ieeexplore.ieee.org/document/10041916/ |
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