User‐optimized data transmission scheduling based on edge community service in opportunistic social network

Autor: Ziqi Wang, Ying Jiao, Jia WU
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: IET Communications, Vol 16, Iss 15, Pp 1838-1852 (2022)
Druh dokumentu: article
ISSN: 1751-8636
1751-8628
DOI: 10.1049/cmu2.12437
Popis: Abstract In order to improve transmission performance, opportunistic social networks are widely used in 5G mobile network communication for network congestion. However, transferring large amounts of data in an instant will lead to data redundancy problems, which will affect the transmission quality. The authors propose a method called user‐optimized data transmission scheduling based on edge community service in opportunistic social networks (ECSUO). This method constructs the edge community service model by introducing mobile edge computing into the opportunistic social network. Then several scheduling factors are set to coordinate the dynamic priority assessment. The simulation results show that ECSUO performs better than other classical opportunistic complex network algorithms in a variety of transmission quality evaluation indexes, and this method also has good applicability when applied to different transmission models.
Databáze: Directory of Open Access Journals
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