Journal of Northeastern University Natural Science ›› 2020, Vol. 41 ›› Issue (9): 1223-1230.DOI: 10.12068/j.issn.1005-3026.2020.09.002

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Improved Load Re-allocation Strategy Based on Maximum Residual Capacity of Node

WANG Li-fu, LI Huan, ZHAO Guo-tao   

  1. School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China.
  • Received:2019-10-23 Revised:2019-10-23 Online:2020-09-15 Published:2020-09-15
  • Contact: LI Huan
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Abstract: When a node in the network fails, in order to study how the node load is distributed to the connected nodes to maintain the normal operation of the network, in this paper, a load re-allocation strategy based on the maximum residual capacity of neighbor nodes was proposed. When the fault node distributes the load, the residual capacity of the receiving node was taken into account, so as to avoid the propagation of the fault caused by full load and overload after the node received the additional load. Considering the energy consumption in the process of load propagation, the influence of path length on load distribution was analyzed. Through the simulation of the model network, the influence of tolerance parameters, load distribution parameters and path length on the load distribution effect was analyzed. The results showed that the network could achieve the desired effect by adjusting the path adjustable parameters, and the propagation of cascade failure could be effectively prevented.

Key words: complex network, cascade failure, residual capacity, load allocation, path length

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