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Volume 42 Issue 7
Jul.  2016
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Journal of Beijing University of Aeronautics and Astronautics  > 2016  >  42(7): 1326-1334.
MA Linhua, ZHANG Song, RU Le, et al. Link awareness-based OLSR routing algorithm for airbonre highly dynamic networks[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(7): 1326-1334. doi: 10.13700/j.bh.1001-5965.2015.0470(in Chinese)
Citation: MA Linhua, ZHANG Song, RU Le, et al. Link awareness-based OLSR routing algorithm for airbonre highly dynamic networks[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(7): 1326-1334. doi: 10.13700/j.bh.1001-5965.2015.0470(in Chinese)
shu

Link awareness-based OLSR routing algorithm for airbonre highly dynamic networks

doi: 10.13700/j.bh.1001-5965.2015.0470
  • 1.

    School of Aeronautics and Astronautics Engineering, Air Force Engineering University, Xi'an 710038, China

  • 2. The State Key Laboratory of Intergrated Service Networks, Xidian University, Xi'an 710071, China

  • 3. Unit 95876 of the People's Liberation Army, Zhangye 734100, China

  • Received Date: 14 Jul 2015
  • Publish Date: 20 Jul 2016
    Abstract
  • Due to the high mobility of the unmanned aerial vehicle (UAV) node, quick changes of the network topology structure, the airborne highly dynamic UAV network suffers some problems such as poor stability of the network link, low data delivery ratio and high data congestion information. In order to overcome these problems, a link awareness-based OLSR (OLSR-LA) routing algorithm for airborne highly dynamic networks is proposed. The charactreistics of two received consecutive Hello messages, such as the Doppler shift and the power strength of received Hello messages, can be used to obtain the relative speed and direction of motion between the two adjacent nodes in the airborne highly dynamic UAV network. Then the link connection lifetime is estimated by the relative speed. The OLSR-LA routing algorithm uses the queue length in the buffer of the MAC layer to indicate the local load level. Then the predicted value of the node's load level in the next time can be predicted by the ARIMA-WNN combination forecasting model and passed to neighbor by Hello message. Finally, according to the conditions of link awareness, regional routing load-balancing (RRLB) algorithm is employed to avoid network congestion. The simulation results show that compared to the traditional OLSR algorithm, the proposed OLSR-LA routing algorithm can effectively improve the packet delivery rate, increase the traffic of network, reduce the end-to-end transmission latency and enhance the real-time and effectiveness of the data transmission in the whole UAV networks.

     

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