Abstract
Modern military warfare is inseparable from the tactics of UAV Ad-hoc network (UANET). Large-scale unmanned aerial vehicles (UAVs) can form an intelligence communication network to monitor, chase and surround targets. However, the network performance of UAVs is highly susceptible to the fast transformation of network topology in the battlefield environment. This paper designs and implements a task-driven OLSR protocol (Td-OLSR) for this problem. It pre-plans the tasks with time and geography, and dynamically adjusts the parameters of the routing protocol according to different tasks. Through the experiment and comparison of the Exata simulation platform, the network performance of Td-OLSR is better and more stable than that of OLSR for UANET.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
FAA: FAA Aerospace Forecast Fiscal Years 2017–2037 (2017)
Valavanis, K.P., Vachtsevanos, G.J.: Handbook of Unmanned Aerial Vehicles. Springer, Netherlands (2015)
Singh, R., Thompson, M., Mathews, S.A., Agbogidi, O., Bhadane, K., Namuduri, K.: Aerial base stations for enabling cellular communications during emergency situation. In: IEEE International Conference on Vision, Image and Signal Processing, pp. 103–108, September 2017
Gupta, L., Jain, R., Vaszkun, G.: Survey of important issues in UAV communication networks. IEEE Commun. Surv. Tutor. 18(2), 1123–1152 (2016)
Noble, J., et al.: Battalion-organic electronic fires: a tactical application of commercial unmanned systems and software-defined radios. In: Defence Technology IEEE (2017)
Fan, X., Cai, W., Lin, J.: A survey of routing protocols for highly dynamic mobile ad hoc networks. In: 2017 IEEE 17th International Conference on Communication Technology (ICCT), Chengdu, pp. 1412–1417 (2017)
Bekmezci, I., Sahingoz, O.K., Temel, S.: Flying ad-hoc networks (FANETs): a survey. Ad Hoc Netw. 11(3), 1254–1270 (2013)
Hiyama, M., Kulla, E., Ikeda, M., Barolli, L., Takizawa, M.: Performance analysis of OLSR with ETX_ff for different HELLO packet interval in a MANET testbed. In: Park, J., Barolli, L., Xhafa, F., Jeong, H.Y. (eds.) Information Technology Convergence. LNEE, vol. 253, pp. 77–88. Springer, Dordrecht (2013). https://doi.org/10.1007/978-94-007-6996-0_9
Clausen, T., Jacquet, P.: RFC 3626: Optimized link state routing protocol (OLSR). IETF, October 4 2003
Vega, A., Lin, C.C., Swaminathan, K., et al.: Resilient, UAV-embedded real-time computing. In: 2015 IEEE 33rd International Conference on Computer Design (ICCD), New York City, NY, USA, pp. 736–739 (2015)
Jiang, Y., Mi, Z., Wang, H., et al.: The experiment and performance analysis of multi-node UAV ad hoc network based on swarm tactics. In: International Conference on Wireless Communications and Signal Processing (WCSP), Hangzhou (2018)
Ladas, A., Pavlatos, N., Weerasinghe, N., Politis, C.: Multipath routing approach to enhance resiliency and scalability in ad-hoc networks. In: 2016 IEEE International Conference on Communications (ICC), Kuala Lumpur, pp. 1–6 (2016)
Trotta, A., D’Andreagiovanni, F., Di Felice, M., Natalizio, E., Chowdhury, K.R.: When UAVs ride a bus: towards energy efficient city-scale video surveillance. In: IEEE International Conference on Computer Communications (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Jiang, Y., Mi, Z., Wang, H. (2019). An Improved OLSR Protocol Based on Task Driven Used for Military UAV Swarm Network. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11742. Springer, Cham. https://doi.org/10.1007/978-3-030-27535-8_51
Download citation
DOI: https://doi.org/10.1007/978-3-030-27535-8_51
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-27534-1
Online ISBN: 978-3-030-27535-8
eBook Packages: Computer ScienceComputer Science (R0)