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.

Highlights

  • In the rapidly developing mobile industry in recent years, the network infrastructure has enough network bandwidth to meet the communication of Internet connection equipment

  • It is a type of complex network that dynamically selects adjacent mobile devices as neighbor nodes to construct the communication path based on the “Storage-Carrying-Forwarding” mechanism [6]

  • Along with the advent of the 5G era of communication, an increasing number of Internet services are migrating to the mobile infrastructure or devices, such as cell phones, tablet computers, smart watches, UAV [7], IoV (Internet of connected vehicles) [8], and intelligent vehicle devices [9,10,11]. ese devices carried by people have the characteristics of random movement and certain human society

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Summary

Introduction

In the rapidly developing mobile industry in recent years, the network infrastructure has enough network bandwidth to meet the communication of Internet connection equipment. An in-depth study has been started on a mobile network, which is an opportunistic network that does not need to establish a complete end-to-end communication path between a source node and a destination node [4, 5] It is a type of complex network that dynamically selects adjacent mobile devices as neighbor nodes to construct the communication path based on the “Storage-Carrying-Forwarding” mechanism [6]. In traditional opportunistic network protocols, if the source node does not have sufficient cache or overhead, it may lead to a long waiting time for data transmission in the community [24]. E rest of the paper is arranged as follows: e second section describes the research on opportunistic networks On this basis, we put forward the model of community and data transmission in the third section.

Related Work
Model Design
D Destination node
Simulation
Findings
Conclusion
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