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Multimedia Independent Multipath Routing Algorithms for Internet of Things Based on a Node Hidden Communication Model

Author

Listed:
  • Cong Wu

    (School of Computer Science and Technology, Zhoukou Normal University, Zhoukou 466001, China)

  • Jianhui Yang

    (School of Mathematics and Statistics, Zhoukou Normal University, Zhoukou 466001, China)

Abstract

In order to achieve a multi-path routing algorithm with time delay and energy consumption balance to alleviate the energy holes around a sink, a multimedia independent multipath routing algorithm for internet of things (IoT) based on node hidden communication model is proposed in this paper. On the premise of satisfying the application delay, a multi-source multi-path routing algorithm is proposed by using the idea of software definition and fitting multiple curves to form independent multi-path routing. Through a sink node centralized programming control source node routing, according to the priority of the source node, the dynamic angle of the source node can be allocated, which effectively reduces the energy consumption of the network. In addition, considering that the Internet of Things has more perceptive nodes, limited computing and storage capacity, frequent joining and exiting operations and other factors, a hidden communication model of nodes is designed for the IoT. It is helpful to improve the level of privacy protection in the IoT, and to effectively improve the ability of nodes to resist attacks in the IoT. The experimental results show that the proposed algorithm avoids the interference between paths and various network attacks to the greatest extent, and the energy consumption is relatively low under the requirement of quality of service (QoS) delay.

Suggested Citation

  • Cong Wu & Jianhui Yang, 2019. "Multimedia Independent Multipath Routing Algorithms for Internet of Things Based on a Node Hidden Communication Model," Future Internet, MDPI, vol. 11(11), pages 1-20, November.
    • Handle: RePEc:gam:jftint:v:11:y:2019:i:11:p:240-:d:287374
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