Routing protocols strategies for flying Ad-Hoc network (FANET): Review, taxonomy, and open research issues
A Flying Ad Hoc Network (FANET) is a self-organizing wireless network comprised of clusters of Unmanned Aerial Vehicles (UAVs) or drones that communicate while nearby. FANETs are increasingly used in a variety of applications, including smart ports, delivery of products, construction, monitoring of...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Review |
| Published: |
Elsevier B.V.
2025
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my.uniten.dspace-36113 |
|---|---|
| record_format |
dspace |
| spelling |
my.uniten.dspace-361132025-03-03T15:41:24Z Routing protocols strategies for flying Ad-Hoc network (FANET): Review, taxonomy, and open research issues Almansor M.J. Din N.M. Baharuddin M.Z. Ma M. Alsayednoor H.M. Al-Shareeda M.A. Al-asadi A.J. 59137147200 9335429400 35329255600 7202444897 59138080200 57208214655 59342080800 Adversarial machine learning Air mobility Deep learning Deep reinforcement learning Delay tolerant networks Emotional intelligence Hierarchical clustering Multi agent systems Reinforcement learning Routing algorithms Unmanned aerial vehicles (UAV) Vehicular ad hoc networks Ad-hoc networks Aerial vehicle Application flying ad-hoc network strategy Flying ad-hoc network strategy Mobility flying ad-hoc network Network strategy Routing-protocol Unmanned aerial vehicle Taxonomies A Flying Ad Hoc Network (FANET) is a self-organizing wireless network comprised of clusters of Unmanned Aerial Vehicles (UAVs) or drones that communicate while nearby. FANETs are increasingly used in a variety of applications, including smart ports, delivery of products, construction, monitoring of the environment and climate, and military surveillance. FANETs research is being driven by the potential for UAVs to be utilized in these regions. The purpose of this paper is to provide a comprehensive analysis of the most important FANET characteristics, mobility models, applications, and routing protocols. The present paper is an effort to provide a comprehensive description of the various routing techniques utilized by the most prevalent routing protocols in FANETs, including topology-based, position- based, hierarchical, swarm-based, and Delay Tolerant Networking (DTN) protocols. Reinforcement learning and deep reinforcement learning are both encompassed in a newly anticipated classification. In the meanwhile, this study primarily centres around the taxonomy for learning agents (single- agent, multi-agent) and learning models (model-based and free-model). In addition, the paper intends to shed light on identifying the applications of FANETs in various categories and identify research gaps and future opportunities in this field. In addition, it compares the results qualitatively to those of the previous surveys. Any future work on the FANET routing protocol could benefit from this paper as a reference and roadmap. ? 2024 Final 2025-03-03T07:41:24Z 2025-03-03T07:41:24Z 2024 Review 10.1016/j.aej.2024.09.032 2-s2.0-85204884646 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204884646&doi=10.1016%2fj.aej.2024.09.032&partnerID=40&md5=9b00c21227544b2ec1bfa081c7053657 https://irepository.uniten.edu.my/handle/123456789/36113 109 553 577 Elsevier B.V. Scopus |
| institution |
Universiti Tenaga Nasional |
| building |
UNITEN Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Tenaga Nasional |
| content_source |
UNITEN Institutional Repository |
| url_provider |
http://dspace.uniten.edu.my/ |
| topic |
Adversarial machine learning Air mobility Deep learning Deep reinforcement learning Delay tolerant networks Emotional intelligence Hierarchical clustering Multi agent systems Reinforcement learning Routing algorithms Unmanned aerial vehicles (UAV) Vehicular ad hoc networks Ad-hoc networks Aerial vehicle Application flying ad-hoc network strategy Flying ad-hoc network strategy Mobility flying ad-hoc network Network strategy Routing-protocol Unmanned aerial vehicle Taxonomies |
| spellingShingle |
Adversarial machine learning Air mobility Deep learning Deep reinforcement learning Delay tolerant networks Emotional intelligence Hierarchical clustering Multi agent systems Reinforcement learning Routing algorithms Unmanned aerial vehicles (UAV) Vehicular ad hoc networks Ad-hoc networks Aerial vehicle Application flying ad-hoc network strategy Flying ad-hoc network strategy Mobility flying ad-hoc network Network strategy Routing-protocol Unmanned aerial vehicle Taxonomies Almansor M.J. Din N.M. Baharuddin M.Z. Ma M. Alsayednoor H.M. Al-Shareeda M.A. Al-asadi A.J. Routing protocols strategies for flying Ad-Hoc network (FANET): Review, taxonomy, and open research issues |
| description |
A Flying Ad Hoc Network (FANET) is a self-organizing wireless network comprised of clusters of Unmanned Aerial Vehicles (UAVs) or drones that communicate while nearby. FANETs are increasingly used in a variety of applications, including smart ports, delivery of products, construction, monitoring of the environment and climate, and military surveillance. FANETs research is being driven by the potential for UAVs to be utilized in these regions. The purpose of this paper is to provide a comprehensive analysis of the most important FANET characteristics, mobility models, applications, and routing protocols. The present paper is an effort to provide a comprehensive description of the various routing techniques utilized by the most prevalent routing protocols in FANETs, including topology-based, position- based, hierarchical, swarm-based, and Delay Tolerant Networking (DTN) protocols. Reinforcement learning and deep reinforcement learning are both encompassed in a newly anticipated classification. In the meanwhile, this study primarily centres around the taxonomy for learning agents (single- agent, multi-agent) and learning models (model-based and free-model). In addition, the paper intends to shed light on identifying the applications of FANETs in various categories and identify research gaps and future opportunities in this field. In addition, it compares the results qualitatively to those of the previous surveys. Any future work on the FANET routing protocol could benefit from this paper as a reference and roadmap. ? 2024 |
| author2 |
59137147200 |
| author_facet |
59137147200 Almansor M.J. Din N.M. Baharuddin M.Z. Ma M. Alsayednoor H.M. Al-Shareeda M.A. Al-asadi A.J. |
| format |
Review |
| author |
Almansor M.J. Din N.M. Baharuddin M.Z. Ma M. Alsayednoor H.M. Al-Shareeda M.A. Al-asadi A.J. |
| author_sort |
Almansor M.J. |
| title |
Routing protocols strategies for flying Ad-Hoc network (FANET): Review, taxonomy, and open research issues |
| title_short |
Routing protocols strategies for flying Ad-Hoc network (FANET): Review, taxonomy, and open research issues |
| title_full |
Routing protocols strategies for flying Ad-Hoc network (FANET): Review, taxonomy, and open research issues |
| title_fullStr |
Routing protocols strategies for flying Ad-Hoc network (FANET): Review, taxonomy, and open research issues |
| title_full_unstemmed |
Routing protocols strategies for flying Ad-Hoc network (FANET): Review, taxonomy, and open research issues |
| title_sort |
routing protocols strategies for flying ad-hoc network (fanet): review, taxonomy, and open research issues |
| publisher |
Elsevier B.V. |
| publishDate |
2025 |
| _version_ |
1825816215005691904 |
| score |
13.244413 |