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.
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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
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DOI: https://doi.org/10.1007/978-3-030-27535-8_51
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