Advanced Data Delivery Strategy Based on Multiperceived Community with IoT in Social Complex Networks

Jingwen Luo, Jia Wu and Yuzhou Wu

Complexity, 2020, vol. 2020, 1-15

Abstract:

With the advent of 5G communication standards, the number of 5G base stations increases steadily, and the number of mobile terminals and IoT (Internet of Things) devices increases sharply, which sharps a large number of IoT devices and forms a complex network. These devices can take as nodes of a community in the opportunistic social network. However, in the environment of traditional opportunistic network algorithm and mass data transmission, information transmission is only carried out at several source nodes in the community, which usually leads to transmission delay, excessive energy consumption, and source node death. Therefore, we propose an effective data delivery based on the multiperceived domain algorithm, which recombines communities based on the correlation degree of nodes, and new communities assist source nodes to transmit information in solving these problems. The comparison between the experiment and the classical opportunistic network algorithm shows that the method has outstanding performance in reducing the resource consumption of data transmission and improving the efficiency of information transmission.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:3576542

DOI: 10.1155/2020/3576542

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