Routing protocols for efficient communication in UAVNETs: A comprehensive review and analysis
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https://doi.org/10.15625/2525-2518/19637Keywords:
UAVNETs, MANETs, VANETs, routing protocolsAbstract
The efficient communication among Unmanned Aerial Vehicles (UAVs) has become crucial due to their rapid development and expanding use in various applications. Unmanned Aerial Vehicle Networks (UAVNETs) are increasingly recognized as an effective way of facilitating cooperative and coordinated operations among UAVs. Nevertheless, the distinctive attributes of UAVs, including their mobility, constrained energy resources and dynamic network topology, present major challenges when it comes to designing efficient routing protocols. This research paper provides a thorough review of routing protocols that are specifically designed for UAVNETs. The objective of this study is to present a comprehensive analysis of the current routing protocols, highlighting their main characteristics and the specific issues they aim to resolve.
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1. Rugo A., Ardagna C. A., Ioini N. E. - A security review in the UAVNet era: Threats, countermeasures, and gap analysis. ACM Comput. Surv., 55(1) (2022) 1-35. https://doi.org/10.1145/3485272.
2. Ringwald T., Sommer L., Schumann A., Beyerer J., Stiefelhagen R. - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE, (2019) 544-552. https://doi.org/10.1109/cvprw.2019.00080.
3. Ben Aissa S., Ben Letaifa A. - UAV communications with machine learning: Challenges, applications and open issues. Arab. J. Sci. Eng., 47(2) (2022) 1559-1579. https://doi.org/10.1007/s13369-021-05932-w.
4. Chowdhury S., Emelogu A., Marufuzzaman M., Nurre S. G., Bian L. - Drones for disaster response and relief operations: A continuous approximation model. Int. J. Prod. Econ., 188 (2017) 167-184. https://doi.org/10.1016/j.ijpe.2017.03.024.
5. Kopfstedt T., Mukai M., Fujita M., Ament C. - Control of formations of UAVs for surveillance and reconnaissance missions. IFAC Proc. Vol., 41(2) (2008) 5161-5166. https://doi.org/10.3182/20080706-5-kr-1001.00867.
6. Sun Z., Wang P., Vuran M. C., Al-Rodhaan M. A., Al-Dhelaan A. M., Akyildiz I. F. - BorderSense: Border patrol through advanced wireless sensor networks. Ad Hoc Netw., 9(3) (2011) 468-477. https://doi.org/10.1016/j.adhoc.2010.09.008.
7. Pitre R. R., Li X. R., Delbalzo R. - UAV route planning for joint search and track missions—An information-value approach. IEEE Trans. Aerosp. Electron. Syst., 48(3) (2012) 2551-2565. https://doi.org/10.1109/taes.2012.6237608.
8. Barrado C., Messeguer R., Lopez J., Pastor E., Santamaria E., Royo P. - Wildfire monitoring using a mixed air-ground mobile network. IEEE Pervasive Comput., 9(4) (2010) 24-32. https://doi.org/10.1109/mprv.2010.54.
9. Arafat M. Y., Moh S. - Routing protocols for unmanned aerial vehicle networks: A survey. IEEE Access, 7 (2019) 99694-99720. https://doi.org/10.1109/access.2019.2930813.
10. Mansoor N., Hossain M. I., Rozario A., Zareei M., Arreola A. R. - A fresh look at routing protocols in unmanned aerial vehicular networks: A survey. IEEE Access, 11 (2023) 66289-66308. https://doi.org/10.1109/access.2023.3290871.
11. Beegum T. R., Idris M. Y. I., Ayub M. N. B., Shehadeh H. A. - Optimized routing of UAVs using bio-inspired algorithm in FANET: A systematic review. IEEE Access, 11 (2023) 15588-15622. https://doi.org/10.1109/access.2023.3244067.
12. Zhou C., Huang C., Huang L., Xie C., Zhu X., Huang T. - Research on lateral safety spacing for fusion operation based on unmanned and manned aircraft-event modeling. Sensors, 24(2) (2024) 553. https://doi.org/10.3390/s24020553.
13. Thapar S., Shukla R. - Recent Advances in Sciences, Engineering, Information Technology & Management, AIP Publishing, (2023) https://doi.org/10.1063/5.0154407.
14. Soomro A. M., Fudzee M. F. B. M., Hussain M., Saim H. M., Zaman G., Atta-ur-Rahman A.-u.-R., AlUbaidan H., Nabil M. - Comparative review of routing protocols in MANET for future research in disaster management. J. Commun., 17(9) (2022) 734-744. https://doi.org/10.12720/jcm.17.9.734-744.
15. Patel S., Pathak H. - 2021 2nd International Conference on Range Technology (ICORT), IEEE, (2021) 1-5. https://doi.org/10.1109/icort52730.2021.9581895.
16. Liu G., Yan Z., Pedrycz W. - Data collection for attack detection and security measurement in Mobile Ad Hoc Networks: A survey. J. Netw. Comput. Appl., 105 (2018) 105-122. https://doi.org/10.1016/j.jnca.2018.01.004.
17. Shah S. A. A., Ahmed E., Xia F., Karim A., Shiraz M., Noor R. M. - Adaptive beaconing approaches for vehicular ad hoc networks: A survey. IEEE Syst. J., 12(2) (2016) 1263-1277. https://doi.org/10.1109/jsyst.2016.2573680.
18. Hartenstein H., Laberteaux K. P. - A tutorial survey on vehicular ad hoc networks. IEEE Commun. Mag., 46(6) (2008) 164-171. https://doi.org/10.1109/mcom.2008.4539481.
19. Al-Sultan S., Al-Doori M. M., Al-Bayatti A. H., Zedan H. - A comprehensive survey on vehicular Ad Hoc network. J. Netw. Comput. Appl., 37 (2014) 380-392. https://doi.org/10.1016/j.jnca.2013.02.036.
20. Al-Absi M. A., Al-Absi A. A., Sain M., Lee H. - Moving ad hoc networks—A comparative study. Sustainability, 13(11) (2021) 6187. https://doi.org/10.3390/su13116187.
21. Yang P.-l., Tian C., Yu Y. - MILCOM 2005 - 2005 IEEE Military Communications Conference, IEEE, (2005) 2960-2966. https://doi.org/10.1109/milcom.2005.1606113.
22. Singh J., Mahajan R. - Performance analysis of AODV and OLSR using OPNET. Asian J. Comput. Sci. Technol., 2(2) (2013) 1-3. https://doi.org/10.51983/ajcst-2013.2.2.1725.
23. Clausen T., Jacquet P. - Optimized Link State Routing Protocol (OLSR). RFC Editor, (2003). https://doi.org/10.17487/rfc3626.
24. Singh K., Verma A. K. - 2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), IEEE, (2015) 1-4. https://doi.org/10.1109/icecct.2015.7226085.
25. Kaur P., Singh A., Gill S. S. - RGIM: An integrated approach to improve QoS in AODV, DSR and DSDV routing protocols for FANETs using the chain mobility model. Comput. J., 63(10) (2020) 1500-1512. https://doi.org/10.1093/comjnl/bxaa040.
26. Vo Thanh T., Binh L. H., Phan Dinh Nguyen V. - Destination sequenced distance vector routing taking into account signal to noise for flying ad hoc network. Vietnam J. Sci. Technol., 62(4) (2023) 787-797. https://doi.org/10.15625/2525-2518/17355.
27. Tyagi S. S., Chauhan R. K. - Performance analysis of proactive and reactive routing protocols for ad hoc networks. Int. J. Comput. Appl., 1(14) (2010) 31-34. https://doi.org/10.5120/306-472.
28. Johnson D. B., Maltz D. A. - Dynamic source routing in ad hoc wireless networks. In Mobile Computing, Springer US (1996) 153-181.
29. Brown T., Argrow B., Dixon C., Doshi S., Thekkekunnel R.-G., Henkel D. - AIAA 3rd Unmanned Unlimited Technical Conference, Workshop and Exhibit, American Institute of Aeronautics and Astronautics, (2004) 6321. https://doi.org/10.2514/6.2004-6321.
30. Perkins C., Belding-Royer E., Das S. - Ad hoc On-Demand Distance Vector (AODV) Routing. RFC Editor, (2003). https://doi.org/10.17487/rfc3561.
31. Khan M. A., Khan I. U., Safi A., Quershi I. M. - Dynamic routing in flying ad-hoc networks using topology-based routing protocols. Drones, 2(3) (2018) 27. https://doi.org/10.3390/drones2030027.
32. Haas Z. J., Pearlman M. R. - ZRP: a hybrid framework for routing in Ad Hoc networks. In Ad Hoc Networking, (2001) 221-253.
33. Gupta A. K., Sadawarti H., Verma A. K. - Performance analysis of AODV, DSR & TORA routing protocols. Int. J. Eng. Technol., 2(2) (2010) 226.
34. Bine L. M. S., Boukerche A., Ruiz L. B., Loureiro A. A. F. - ICC 2022 - IEEE International Conference on Communications, IEEE, (2022) 1064-1069. https://doi.org/10.1109/icc45855.2022.9839173.
35. Oubbati O. S., Lakas A., Lagraa N., Yagoubi M. B. - 2016 IEEE Wireless Communications and Networking Conference, IEEE, (2016) 1-6. https://doi.org/10.1109/wcnc.2016.7564747.
36. Oubbati O. S., Lakas A., Lagraa N., Yagoubi M. B. - 2015 International Conference on Connected Vehicles and Expo (ICCVE), IEEE, (2015) 68-73. https://doi.org/10.1109/iccve.2015.54.
37. Kuiper E. - Mobility and routing in a delay-tolerant network of unmanned aerial vehicles. Linköpings Universitet (Sweden), (2008).
38. Jain S., Fall K., Patra R. - Routing in a delay tolerant network. Comput. Commun. Rev., 34(4) (2004) 145-158. https://doi.org/10.1145/1030194.1015484.
39. Deshpande A. A., Chiariotti F., Zanella A. - 2020 Mediterranean Communication and Computer Networking Conference (MedComNet), IEEE, (2020) 1-8. https://doi.org/10.1109/medcomnet49392.2020.9191526.
40. Karp B., Kung H. T. - Proceedings of the 6th annual international conference on Mobile computing and networking, Defense Technical Information Center, (2005) 243-254. https://doi.org/10.21236/ada440078.
41. Gankhuyag G., Shrestha A. P., Yoo S.-J. - Robust and reliable predictive routing strategy for flying ad-hoc networks. IEEE Access, 5 (2017) 643-654. https://doi.org/10.1109/access.2017.2647817.
42. Khaledi M., Rovira-Sugranes A., Afghah F., Razi A. - 2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops), IEEE, (2018) 1-5. https://doi.org/10.1109/seconw.2018.8396354.
43. Li Y., Shirani R., St-Hilaire M., Kunz T. - Improving routing in networks of Unmanned Aerial Vehicles: Reactive-Greedy-Reactive. Wirel. Commun. Mob. Comput., 12(18) (2012) 1608-1619. https://doi.org/10.1002/wcm.2333.
44. Arafat M. Y., Moh S. - Location-aided delay tolerant routing protocol in UAV networks for post-disaster operation. IEEE Access, 6 (2018) 59891-59906. https://doi.org/10.1109/access.2018.2875739.
45. Abdulhae O. T., Mandeep J. S., Islam M. - Cluster-based routing protocols for flying ad hoc networks (FANETs). IEEE Access, 10 (2022) 32981-33004. https://doi.org/10.1109/access.2022.3161446.
46. Khan A., Aftab F., Zhang Z. - BICSF: Bio-inspired clustering scheme for FANETs. IEEE Access, 7 (2019) 31446-31456. https://doi.org/10.1109/access.2019.2902940.
47. Uddin M. A., Mansour A., Jeune D. L., Ayaz M., Aggoune E.-H. M. - UAV-assisted dynamic clustering of wireless sensor networks for crop health monitoring. Sensors, 18(2) (2018) 555. https://doi.org/10.3390/s18020555.
48. Jafarizadeh V., Keshavarzi A., Derikvand T. - Efficient cluster head selection using Naïve Bayes classifier for wireless sensor networks. Wirel. Netw., 23(3) (2017) 779-785. https://doi.org/10.1007/s11276-015-1169-8.
49. Khan A., Aftab F., Zhang Z. - Self-organization based clustering scheme for FANETs using Glowworm Swarm Optimization. Phys. Commun., 36 (2019) 100769. https://doi.org/10.1016/j.phycom.2019.100769.
50. Shi N., Luo X. - A novel cluster-based location-aided routing protocol for UAV fleet networks. Int. J. Digit. Content Technol. Appl., 6(18) (2012) 376-383. https://doi.org/10.4156/jdcta.vol6.issue18.45.
51. Farmani N., Sun L., Pack D. J. - A scalable multitarget tracking system for cooperative unmanned aerial vehicles. IEEE Trans. Aerosp. Electron. Syst., 53(4) (2017) 1947-1961. https://doi.org/10.1109/taes.2017.2677746.
52. Bashir M. N., Mohamad Yusof K. - 2019 4th MEC International Conference on Big Data and Smart City (ICBDSC), IEEE, (2019) 1-6. https://doi.org/10.1109/icbdsc.2019.8645588.
53. Li K., Ni W., Wang X., Liu R. P., Kanhere S. S., Jha S. - 2015 IEEE International Conference on Communications (ICC), IEEE, (2015) 6246-6251. https://doi.org/10.1109/icc.2015.7249319.
54. Aadil F., Raza A., Khan M. F., Maqsood M., Mehmood I., Rho S. - Energy aware cluster-based routing in flying ad-hoc networks. Sensors, 18(5) (2018) 1413. https://doi.org/10.3390/s18051413.
55. Arafat M. Y., Moh S. - Bio-inspired approaches for energy-efficient localization and clustering in UAV networks for monitoring wildfires in remote areas. IEEE Access, 9 (2021) 18649-18669. https://doi.org/10.1109/access.2021.3053605.
56. Youssef M., Ibrahim M., Abdelatif M., Chen L., Vasilakos A. V. - Routing metrics of cognitive radio networks: A survey. IEEE Commun. Surv. Tutor., 16(1) (2013) 92-109. https://doi.org/10.1109/surv.2013.082713.00184.
57. Singhal G., Bansod B., Mathew L. - Unmanned aerial vehicle classification, applications and challenges: A review. MDPI AG, (2018). https://doi.org/10.20944/preprints201811.0601.v1.
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