Design and Analysis of Routing Protocols for the Internet of Drones

• Lailla M. S. Bine UFMG
• Linnyer B. Ruiz UEM
• Antonio A. F. Loureiro UFMG

DOI: https://doi.org/10.5753/ctd.2024.2696

Resumo

The Internet of Drones (IoD) is an emerging technology enabling 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. and Moh, S. (2019). Routing Protocols for Unmanned Aerial Vehicle Networks: A Survey. IEEE Access, 7:99694–99720.

Azzoug, Y. and Boukra, A. (2022). Enhanced UAV-Aided Vehicular Delay Tolerant Network (VDTN) Routing for Urban Environment Using a Bio-Inspired Approach. Ad Hoc Networks, page 102902.

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., and 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., and 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., and 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., and 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.

Du, Z., Wu, C., Yoshinaga, T., Chen, X., Wang, X., Yau, K.-L. A., and Ji, Y. (2021). A Routing Protocol for UAV-Assisted Vehicular Delay Tolerant Networks. IEEE Open Journal of the Computer Society, 2:85–98.

Gharibi, M., Boutaba, R., and Waslander, S. L. (2016). Internet of Drones. IEEE Access, 4:1148–1162.

Guerber, C., Larrieu, N., and 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), pages 51–60. IEEE.

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., and 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., and 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., Musabyimana, J. P., Musanabaganwa, C., Nsanzimana, S., and 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.

Oubbati, O. S., Chaib, N., Lakas, A., Bitam, S., and Lorenz, P. (2020). U2rv: Uav-assisted reactive routing protocol for vanets. Inter. Journal of Comms Systems, 33(10):e4104.

Oubbati, O. S., Lakas, A., Zhou, F., Güneş, M., Lagraa, N., and Yagoubi, M. B. (2017). Intelligent uav-assisted routing protocol for urban vanets. ComCom, 107:93–111.

Shi, Y., Liu, J., Fadlullah, Z. M., and Kato, N. (2018). Cross-layer data delivery in satellite-aerial-terrestrial communication. IEEE Wireless Comm., 25(3):138–143.

Silva, T. H., Viana, A. C., Benevenuto, F., Villas, L., Salles, J., Loureiro, A., and 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., and 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., and Gerla, M. (2019). Software-defined UAV Networking for Video Dissemination Services. Ad Hoc Networks, 83:68–77.

Zheng, Y., Capra, L., Wolfson, O., and Yang, H. (2014). Urban Computing: Concepts, Methodologies, and Applications. ACM TIST, 5(3):1–55.