Taking FANET to Next Level
The Contrast Evaluation of Moth-and-Ant with Bee Ad-hoc Routing Protocols for Flying Ad-hoc Networks
Abstract Flying Ad-hoc Network (FANET) is a special member/class of Mobile Ad-hoc Network (MANET) in which the movable nodes are known as by the name of Unmanned Aerial Vehicles (UAVs) that are operated from a long remote distance in which there is no human personnel involved. It is an ad-hoc network in which the UAVs can more in 3D ways simultaneously in the air without any onboard pilot. In other words, this is a pilot free ad-hoc network also known as Unmanned Aerial System (UAS) and the component introduced for such a system is known as UAV. There are many single UAV applications but using multiple UAVs system cooperating can be helpful in many ways in the field of wireless communication. Deployments of these small UAVs are quick and flexible which overcome the limitation of traditional ad hoc networks. FANETs differ from other kinds of ad hoc networks and envisioned to play an important role where infrastructure operations are not available and assigned tasks are too dull, dirty, or dangerous for humans. Moreover, setting up to bolster the range and performance of small UAV in ad hoc network lead to emergent evolution with its high stability, quick deployment, and ease-of-use for the formation of the network. Routing and task allocation are the challenging research areas of the network with ad hoc nodes. The paper overview based on the study of biological inspired routing protocols (Moth-and-Ant and Bee Ad-Hoc) routing protocols.
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Kuperman, G., Veytser, L., Cheng, B.-N., Moore, S., & Narula-Tam, A. (2014). A comparison of OLSR and OSPF-MDR for large-scale airborne mobile ad-hoc networks. Proceedings of the third ACM workshop on Airborne networks and communications,
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Nugroho, D. A., Prasetiadi, A., & Kim, D.-S. (2015). Male-silkmoth-inspired routing algorithm for large-scale wireless mesh networks. Journal of Communications and Networks, 17(4), 384–393.
Oh, H., Turchi, D., Kim, S., Tsourdos, A., Pollini, L., & White, B. (2014). Coordinated standoff tracking using path shaping for multiple UAVs. IEEE Transactions on Aerospace and Electronic Systems, 50(1), 348–363.
Park, V., & Corson, S. (1998). Temporally-ordered routing algorithm (TORA) version 1 functional specification (Internet-draft). Mobile Ad-hoc Network (MANET) Working Group, IETF.
Pei, G., Gerla, M., & Chen, T.-W. (2000). Fisheye state routing: A routing scheme for ad hoc wireless networks. 2000 IEEE International Conference on Communications. ICC 2000. Global Convergence Through Communications. Conference Record,
Pham, D. T., Ghanbarzadeh, A., Koç, E., Otri, S., Rahim, S., & Zaidi, M. (2006). The bees algorithm—a novel tool for complex optimisation problems. In Intelligent production machines and systems (pp. 454–459). Elsevier.
Sahingoz, O. K. (2014). Networking models in flying ad-hoc networks (FANETs): Concepts and challenges. Journal of Intelligent & Robotic Systems, 74(1), 513–527.
Tareque, M. H., Hossain, M. S., & Atiquzzaman, M. (2015). On the routing in flying ad hoc networks. 2015 federated conference on computer science and information systems (FedCSIS)
Alshbatat, A. I., & Dong, L. (2010). Cross layer design for mobile ad-hoc unmanned aerial vehicle communication networks. 2010 International Conference on Networking, Sensing and Control (ICNSC),
Bekmezci, I., Sahingoz, O. K., & Temel, ?. (2013). Flying ad-hoc networks (FANETs): A survey. Ad Hoc Networks, 11(3), 1254-1270.
Bekmezci, I., Sen, I., & Erkalkan, E. (2015). Flying ad hoc networks (FANET) test bed implementation. 2015 7th International conference on recent advances in space technologies (RAST),
Billington, J., & Yuan, C. (2009). On modelling and analysing the dynamic MANET on-demand (DYMO) routing protocol. In Transactions on Petri Nets and Other Models of Concurrency III (pp. 98–126). Springer.
Bujari, A., Palazzi, C. E., & Ronzani, D. (2017). FANET application scenarios and mobility models. Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications,
Cheng, C.-M., Hsiao, P.-H., Kung, H., & Vlah, D. (2007). Maximizing throughput of UAV-relaying networks with the load-carry-and-deliver paradigm. 2007 IEEE Wireless Communications and Networking Conference,
Dhurandher, S. K., Misra, S., Pruthi, P., Singhal, S., Aggarwal, S., & Woungang, I. (2011). Using bee algorithm for peer-to-peer file searching in mobile ad hoc networks. Journal of Network and Computer Applications, 34(5), 1498–1508.
Flury, R., & Wattenhofer, R. (2008). Randomized 3D geographic routing. IEEE INFOCOM 2008-The 27th Conference on Computer Communications,
Forsmann, J. H., Hiromoto, R. E., & Svoboda, J. (2007). A time-slotted on-demand routing protocol for mobile ad hoc unmanned vehicle systems. Unmanned Systems Technology IX,
Frew, E. W., & Brown, T. X. (2009). Networking issues for small unmanned aircraft systems. Journal of Intelligent and Robotic Systems, 54(1), 21–37.
Haas, Z. (1998). The zone routing protocol (ZRP) for ad hoc networks. IETF Internet draft, draft-ietf-manet-zone-zrp-01. txt.
Jacquet, P., Muhlethaler, P., Clausen, T., Laouiti, A., Qayyum, A., & Viennot, L. (2001). Optimized link state routing protocol for ad hoc networks. Proceedings. IEEE International Multi Topic Conference, 2001. IEEE INMIC 2001. Technology for the 21st Century.,
Kaddoura, M., Trent, B., Ramanujan, R., & Hadynski, G. (2011). BGP-MX: Border gateway protocol with mobility extensions. 2011-MILCOM 2011 Military Communications Conference,
Karaboga, D. (2005). An idea based on honey bee swarm for numerical optimization.
Karp, B., & Kung, H.-T. (2000). GPSR: Greedy perimeter stateless routing for wireless networks. Proceedings of the 6th annual international conference on Mobile computing and networking,
Kim, D.-Y., & Lee, J.-W. (2017). Topology construction for flying ad hoc networks (FANETs). 2017 International Conference on Information and Communication Technology Convergence (ICTC),
Ko, Y. B., & Vaidya, N. H. (2000). Location?Aided Routing (LAR) in mobile ad hoc networks. Wireless networks, 6(4), 307–321.
Kuperman, G., Veytser, L., Cheng, B.-N., Moore, S., & Narula-Tam, A. (2014). A comparison of OLSR and OSPF-MDR for large-scale airborne mobile ad-hoc networks. Proceedings of the third ACM workshop on Airborne networks and communications,
Leonov, A. V. (2016). Application of bee colony algorithm for FANET routing. 2016 17th International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices (EDM),
Lidowski, R. L., Mullins, B. E., & Baldwin, R. O. (2009). A novel communications protocol using geographic routing for swarming uavs performing a search mission. 2009 IEEE International Conference on Pervasive Computing and Communications,
Liu, C., & Wu, J. (2009). Efficient geometric routing in three dimensional ad hoc networks. IEEE INFOCOM 2009,
Nugroho, D. A., Prasetiadi, A., & Kim, D.-S. (2015). Male-silkmoth-inspired routing algorithm for large-scale wireless mesh networks. Journal of Communications and Networks, 17(4), 384–393.
Oh, H., Turchi, D., Kim, S., Tsourdos, A., Pollini, L., & White, B. (2014). Coordinated standoff tracking using path shaping for multiple UAVs. IEEE Transactions on Aerospace and Electronic Systems, 50(1), 348–363.
Park, V., & Corson, S. (1998). Temporally-ordered routing algorithm (TORA) version 1 functional specification (Internet-draft). Mobile Ad-hoc Network (MANET) Working Group, IETF.
Pei, G., Gerla, M., & Chen, T.-W. (2000). Fisheye state routing: A routing scheme for ad hoc wireless networks. 2000 IEEE International Conference on Communications. ICC 2000. Global Convergence Through Communications. Conference Record,
Pham, D. T., Ghanbarzadeh, A., Koç, E., Otri, S., Rahim, S., & Zaidi, M. (2006). The bees algorithm—a novel tool for complex optimisation problems. In Intelligent production machines and systems (pp. 454–459). Elsevier.
Sahingoz, O. K. (2014). Networking models in flying ad-hoc networks (FANETs): Concepts and challenges. Journal of Intelligent & Robotic Systems, 74(1), 513–527.
Tareque, M. H., Hossain, M. S., & Atiquzzaman, M. (2015). On the routing in flying ad hoc networks. 2015 federated conference on computer science and information systems (FedCSIS)
Hussain, A., Khan, H. U., Nazir, S., Hussain, T., & Ullah, I. (2022). Taking FANET to Next Level: The Contrast Evaluation of Moth-and-Ant with Bee Ad-hoc Routing Protocols for Flying Ad-hoc Networks. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 10(4), 321–337. https://doi.org/10.14201/ADCAIJ2021104321337
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