Volume 45 Issue 2
Feb.  2019
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LIU Weilun, ZHANG Hengyang, ZHENG Bo, et al. An adaptive backoff algorithm for FANETs based on multiple priority[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(2): 325-332. doi: 10.13700/j.bh.1001-5965.2018.0305(in Chinese)
Citation: LIU Weilun, ZHANG Hengyang, ZHENG Bo, et al. An adaptive backoff algorithm for FANETs based on multiple priority[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(2): 325-332. doi: 10.13700/j.bh.1001-5965.2018.0305(in Chinese)

An adaptive backoff algorithm for FANETs based on multiple priority

doi: 10.13700/j.bh.1001-5965.2018.0305
Funds:

National Natural Science Foundation of China 61701521

China Postdoctoral Science Foundation 2016M603044

Aeronautical Science Foundation of China 20161996010

Natural Science Foundation of Shaanxi Province, China 2018JQ6074

More Information
  • Corresponding author: ZHANG Hengyang, E-mail: hareed@163.com
  • Received Date: 28 May 2018
  • Accepted Date: 24 Aug 2018
  • Publish Date: 20 Feb 2019
  • The existing backoff algorithms of the medium access control (MAC) protocols cannot provide the multiple priority differentiation, and the performance declines sharply under heavy loads in flying Ad hoc networks (FANETs), so a novel adaptive backoff algorithm based on multiple priority differentiation is proposed in this paper. The algorithm adopts a busy/idle factor adaptive mechanism and an optimal contention window (CW) adaptive mechanism, so the length of CW for each priority can be adjusted in real time with the busy degree of channels and network state parameters. Meanwhile, the CW can quickly converge to the best state in every backoff stage, and the multiple priority differentiation can be obtained. Furthermore, the best system throughput performance can be achieved by modeling. The three-dimensional Markov chain model of the backoff process for different priorities is established and the adaptive factor under the saturated throughput is solved by theory. In addition, the mathematical expressions of system throughput and mean MAC delay are also deduced. Simulation results show that the algorithm can achieve the multiple priority differentiation and availably enhance the system throughput, and its performance is superior to the priority adaptive backoff (PAB) algorithm and adaptive CW backoff algorithm for QoS (Q-ABACW).

     

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