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Author:

Zheng, Wei (Zheng, Wei.) | Kang, Naixin (Kang, Naixin.) | Ye, Tao (Ye, Tao.) | Wang, Qi (Wang, Qi.)

Indexed by:

EI Scopus

Abstract:

IoT routing is the basis for efficient operation of perception layer networks. The current routing technology of IoT lacks a trusted authentication mechanism, and the adopted traditional routing algorithm can hardly meet the routing demand of massive IoT terminals. Based on this, this paper proposes a trusted authentication mechanism for IoT routing, and combines reinforcement learning and trickle timer to propose an intelligent adaptive trickle timer algorithm, which ensures the secure and trustworthy and efficient operation of IoT routing. © 2022 ACM.

Keyword:

Network layers Reinforcement learning Network routing Authentication Internet of things

Author Community:

  • [ 1 ] [Zheng, Wei]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Kang, Naixin]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Ye, Tao]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Wang, Qi]Shenzhen High-Tech Industrial, Trusted Computing Technology Co., Ltd, Shenzhen; 518000, China

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Source :

Year: 2022

Page: 174-179

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 12

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