Design and Analysis of Routing Protocols for the Internet of Drones
Resumo
The Internet of Drones (IoD) is an emerging technology that will enable a new era of drone services and applications. However, many barriers and challenges remain until it is possible to control a complex IoD network. The scientific community is still discussing, studying, and investigating the best way to implement this network to become the IoD viable, reliable, and efficient. Furthermore, the principles that guide terrestrial wireless networks and even traditional Unnamed Aerial Vehicles (UAV) networks do not apply to IoD mainly because it allows distinct drones performing different applications to share the airspace. This thesis aims to provide procedures and discussions that can guide future development to overcoming barriers related to fundamental problems in IoD, such as communication and mobility.Referências
Arafat, M. Y., & Moh, S. (2019). Routing Protocols for Unmanned Aerial Vehicle Networks: A Survey. IEEE Access, 7, 99694–99720.
Bine, L. M. S. (2023). Design and Analysis of Routing Protocols for Internet of Drones (PhD thesis). Federal University of Minas Gerais, Belo Horizonte, MG, Brazil.
Boccadoro, P., Striccoli, D., & Grieco, L. A. (2021). An Extensive Survey on the Internet of Drones. Ad Hoc Networks, 122, 102600.
Bousbaa, F. Z., Kerrache, C. A., Mahi, Z., Tahari, A. E. K., Lagraa, N., & Yagoubi, M. B. (2020). GeoUAVs: A New Geocast Routing Protocol for Fleet of UAVs. Computer Communications, 149, 259–269.
Cabreira, T. M., Brisolara, L. B., & Paulo R., F. J. (2019). Survey on coverage path planning with unmanned aerial vehicles. Drones, 3(1), 4.
Chiang, W.-C., Li, Y., Shang, J., & Urban, T. L. (2019). Impact of Drone Delivery on Sustainability and Cost: Realizing the UAV Potential Through Vehicle Routing Optimization. Applied energy, 242, 1164–1175.
Gharibi, M., Boutaba, R., & Waslander, S. L. (2016). Internet of Drones. IEEE Access, 4, 1148–1162.
Guerber, C., Larrieu, N., & Royer, M. (2019). Software Defined Network Based Architecture to Improve Security in a Swarm of Drones. In 2019 international conference on unmanned aircraft systems (icuas) (pp. 51–60).
Krishna, M. (2020). A Survey UAV-Assisted VANET Routing Protocol. International Journal of Computer Science Trends and Technology (IJCST)–Vol, 8.
Kumar, A., Krishnamurthi, R., Nayyar, A., Luhach, A. K., Khan, M. S., & Singh, A. (2021). A Novel Software-Defined Drone Network (SDDN)-based Collision Avoidance Strategies for On-road Traffic Monitoring and Management. Vehicular Communications, 28, 100313.
Mannan, A., Obaidat, M. S., Mahmood, K., Ahmad, A., & Ahmad, R. (2023). Classical Versus Reinforcement Learning Algorithms for Unmanned Aerial Vehicle Network Communication and Coverage Path Planning: A Systematic Literature Review. International Journal of Communication Systems, 36(5), e5423.
Nisingizwe, M. P., Ndishimye, P., Swaibu, K., Nshimiyimana, L., Karame, P., Dushimiyimana, V., . . . Law, M. R. (2022). Effect of Unmanned Aerial Vehicle (Drone) Delivery on Blood Product Delivery Time and Wastage in Rwanda. The Lancet Global Health, 10(4), e564–e569.
Shi, Y., Liu, J., Fadlullah, Z. M., & Kato, N. (2018). Cross-layer data delivery in satellite-aerial-terrestrial communication. IEEE Wireless Communications, 25(3), 138–143.
Silva, T. H., Viana, A. C., Benevenuto, F., Villas, L., Salles, J., Loureiro, A., & Quercia, D. (2019). Urban Computing Leveraging Location-based Social Network Data: A Survey. ACM CSUR, 52(1), 1–39.
Svaigen, A. R., Boukerche, A., Ruiz, L. B., & Loureiro, A. A. (2023). Security in the Industrial Internet of Drones. IEEE Internet of Things Magazine, 6(3), 110–116.
Zhao, Z., Cumino, P., Souza, A., Rosario, D., Braun, T., Cerqueira, E., & Gerla, M. (2019). Software-defined UAV Networking for Video Dissemination Services. Ad Hoc Networks, 83, 68–77.
Zheng, Y., Capra, L., Wolfson, O., & Yang, H. (2014). Urban Computing: Concepts, Methodologies, and Applications. ACM TIST , 5(3), 1–55.
Bine, L. M. S. (2023). Design and Analysis of Routing Protocols for Internet of Drones (PhD thesis). Federal University of Minas Gerais, Belo Horizonte, MG, Brazil.
Boccadoro, P., Striccoli, D., & Grieco, L. A. (2021). An Extensive Survey on the Internet of Drones. Ad Hoc Networks, 122, 102600.
Bousbaa, F. Z., Kerrache, C. A., Mahi, Z., Tahari, A. E. K., Lagraa, N., & Yagoubi, M. B. (2020). GeoUAVs: A New Geocast Routing Protocol for Fleet of UAVs. Computer Communications, 149, 259–269.
Cabreira, T. M., Brisolara, L. B., & Paulo R., F. J. (2019). Survey on coverage path planning with unmanned aerial vehicles. Drones, 3(1), 4.
Chiang, W.-C., Li, Y., Shang, J., & Urban, T. L. (2019). Impact of Drone Delivery on Sustainability and Cost: Realizing the UAV Potential Through Vehicle Routing Optimization. Applied energy, 242, 1164–1175.
Gharibi, M., Boutaba, R., & Waslander, S. L. (2016). Internet of Drones. IEEE Access, 4, 1148–1162.
Guerber, C., Larrieu, N., & Royer, M. (2019). Software Defined Network Based Architecture to Improve Security in a Swarm of Drones. In 2019 international conference on unmanned aircraft systems (icuas) (pp. 51–60).
Krishna, M. (2020). A Survey UAV-Assisted VANET Routing Protocol. International Journal of Computer Science Trends and Technology (IJCST)–Vol, 8.
Kumar, A., Krishnamurthi, R., Nayyar, A., Luhach, A. K., Khan, M. S., & Singh, A. (2021). A Novel Software-Defined Drone Network (SDDN)-based Collision Avoidance Strategies for On-road Traffic Monitoring and Management. Vehicular Communications, 28, 100313.
Mannan, A., Obaidat, M. S., Mahmood, K., Ahmad, A., & Ahmad, R. (2023). Classical Versus Reinforcement Learning Algorithms for Unmanned Aerial Vehicle Network Communication and Coverage Path Planning: A Systematic Literature Review. International Journal of Communication Systems, 36(5), e5423.
Nisingizwe, M. P., Ndishimye, P., Swaibu, K., Nshimiyimana, L., Karame, P., Dushimiyimana, V., . . . Law, M. R. (2022). Effect of Unmanned Aerial Vehicle (Drone) Delivery on Blood Product Delivery Time and Wastage in Rwanda. The Lancet Global Health, 10(4), e564–e569.
Shi, Y., Liu, J., Fadlullah, Z. M., & Kato, N. (2018). Cross-layer data delivery in satellite-aerial-terrestrial communication. IEEE Wireless Communications, 25(3), 138–143.
Silva, T. H., Viana, A. C., Benevenuto, F., Villas, L., Salles, J., Loureiro, A., & Quercia, D. (2019). Urban Computing Leveraging Location-based Social Network Data: A Survey. ACM CSUR, 52(1), 1–39.
Svaigen, A. R., Boukerche, A., Ruiz, L. B., & Loureiro, A. A. (2023). Security in the Industrial Internet of Drones. IEEE Internet of Things Magazine, 6(3), 110–116.
Zhao, Z., Cumino, P., Souza, A., Rosario, D., Braun, T., Cerqueira, E., & Gerla, M. (2019). Software-defined UAV Networking for Video Dissemination Services. Ad Hoc Networks, 83, 68–77.
Zheng, Y., Capra, L., Wolfson, O., & Yang, H. (2014). Urban Computing: Concepts, Methodologies, and Applications. ACM TIST , 5(3), 1–55.
Publicado
20/05/2024
Como Citar
BINE, Lailla M. S.; RUIZ, Linnyer B.; LOUREIRO, Antonio A. F..
Design and Analysis of Routing Protocols for the Internet of Drones. In: CONCURSO DE TESES E DISSERTAÇÕES - SIMPÓSIO BRASILEIRO DE REDES DE COMPUTADORES E SISTEMAS DISTRIBUÍDOS (SBRC), 42. , 2024, Niterói/RJ.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 121-128.
ISSN 2177-9384.
DOI: https://doi.org/10.5753/sbrc_estendido.2024.1636.
