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Author:

Chen, Lerui (Chen, Lerui.) | Cao, Jianfu (Cao, Jianfu.)

Indexed by:

CPCI-S CSSCI-E

Abstract:

For the problem of complex heterogeneous network congestion, an adaptive RED algorithm based on Bell type membership function is proposed, in the new algorithm, the probability function of packet loss is nonlinear by using the Bell type Fuzzy membership function .On one hand, it can enhance the adaptability of network and avoid cyber source waste, on the other hand, it automatically adjust the probability of packet loss according to the network environment to keep the queue length. Simulation shows that the new algorithm can effectively control the occurrence of IoT and has strong adaptivity.

Keyword:

adaptive control BARED IoT network congestion nonlinearity RED

Author Community:

  • [ 1 ] [Chen, Lerui] Xi An Jiao Tong Univ, Inst Automat Control, Xian, Shaanxi, Peoples R China
  • [ 2 ] [Cao, Jianfu] Xi An Jiao Tong Univ, Xian, Shaanxi, Peoples R China
  • [ 3 ] [Cao, Jianfu] Guangdong Shunde Xian Jiaotong Univ Acad, Foshan, Peoples R China

Reprint Author's Address:

  • Xi An Jiao Tong Univ, Inst Automat Control, Xian, Shaanxi, Peoples R China.

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Source :

2018 CHINESE AUTOMATION CONGRESS (CAC)

Year: 2018

Page: 295-298

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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