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Volume 42 Issue 7
Jul.  2020
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Fengzeng LIU, Bing XIAO, Shisi CHEN, Jiaxun CHEN. A Preferential Recovery Method of Interdependent Networks under Load[J]. Journal of Electronics & Information Technology, 2020, 42(7): 1694-1701. doi: 10.11999/JEIT190486
Citation: Fengzeng LIU, Bing XIAO, Shisi CHEN, Jiaxun CHEN. A Preferential Recovery Method of Interdependent Networks under Load[J]. Journal of Electronics & Information Technology, 2020, 42(7): 1694-1701. doi: 10.11999/JEIT190486

A Preferential Recovery Method of Interdependent Networks under Load

doi: 10.11999/JEIT190486
Funds:  The National Natural Science Foundation of China (61502522)
  • Received Date: 2019-07-01
  • Rev Recd Date: 2019-10-30
  • Available Online: 2020-02-07
  • Publish Date: 2020-07-23
  • Optimal node recovery is an effective measure to control cascading failure of interdependent networks. In view of the fact that the previous recovery model does not consider the node load, this paper analyzes first the cascading failure process including dependent failure and overload failure, and constructs the recovery model of interdependent network under load. Then, considering the structure and dynamic properties of the mutual boundary nodes, a Preferential Recovery method based on Capacity and Connectivity Link (PRCCL) is proposed. Experiment results show that in scale-free independent networks, the recovery effect of PRCCL is better than benchmark methods, the recovery time is shorter, and the recovered networks have higher average degree and robustness. In the independent network composed of Power grid and Internet network, the recovery effect of PRCCL method is also better than the benchmark methods. The advantages of PRCCL are proportional to the recovery ratio, load control parameters and inversely proportional to the tolerance coefficient. The experimental results verify the validity of the PRCCL method, which has scientific guidance value for the recovery of interdependent networks in reality.

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