Routing Algorithm Based on User Adaptive Data Transmission Scheme in Opportunistic Social Networks
With the rapid popularization of 5G communication and internet of things technologies, the amount of information has increased significantly in opportunistic social networks, and the types of messages have become more and more complex. More and more mobile devices join the network as nodes, making t...
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doaj-2ca2bf760588485aa54854240ff139762021-05-31T23:41:56ZengMDPI AGElectronics2079-92922021-05-01101138113810.3390/electronics10101138Routing Algorithm Based on User Adaptive Data Transmission Scheme in Opportunistic Social NetworksYu Lu0Liu Chang1Jingwen Luo2Jia Wu3School of Computer Science and Engineering, Central South University, Changsha 410083, ChinaSchool of Computer Science and Engineering, Central South University, Changsha 410083, ChinaSchool of Computer Science and Engineering, Central South University, Changsha 410083, ChinaSchool of Computer Science and Engineering, Central South University, Changsha 410083, ChinaWith the rapid popularization of 5G communication and internet of things technologies, the amount of information has increased significantly in opportunistic social networks, and the types of messages have become more and more complex. More and more mobile devices join the network as nodes, making the network scale increase sharply, and the tremendous amount of datatransmission brings a more significant burden to the network. Traditional opportunistic social network routing algorithms lack effective message copy management and relay node selection methods, which will cause problems such as high network delay and insufficient cache space. Thus, we propose an opportunistic social network routing algorithm based on user-adaptive data transmission. The algorithm will combine the similarity factor, communication factor, and transmission factor of the nodes in the opportunistic social network and use information entropy theory to adaptively assign the weights of decision feature attributes in response to network changes. Also, edge nodes are effectively used, and the nodes are divided into multiple communities to reconstruct the community structure. The simulation results show that the algorithm demonstrates good performance in improving the information transmission’s success rate, reducing network delay, and caching overhead.https://www.mdpi.com/2079-9292/10/10/1138opportunistic social networksweight distributionrelay nodeedge nodeinformation entropy |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yu Lu Liu Chang Jingwen Luo Jia Wu |
spellingShingle |
Yu Lu Liu Chang Jingwen Luo Jia Wu Routing Algorithm Based on User Adaptive Data Transmission Scheme in Opportunistic Social Networks Electronics opportunistic social networks weight distribution relay node edge node information entropy |
author_facet |
Yu Lu Liu Chang Jingwen Luo Jia Wu |
author_sort |
Yu Lu |
title |
Routing Algorithm Based on User Adaptive Data Transmission Scheme in Opportunistic Social Networks |
title_short |
Routing Algorithm Based on User Adaptive Data Transmission Scheme in Opportunistic Social Networks |
title_full |
Routing Algorithm Based on User Adaptive Data Transmission Scheme in Opportunistic Social Networks |
title_fullStr |
Routing Algorithm Based on User Adaptive Data Transmission Scheme in Opportunistic Social Networks |
title_full_unstemmed |
Routing Algorithm Based on User Adaptive Data Transmission Scheme in Opportunistic Social Networks |
title_sort |
routing algorithm based on user adaptive data transmission scheme in opportunistic social networks |
publisher |
MDPI AG |
series |
Electronics |
issn |
2079-9292 |
publishDate |
2021-05-01 |
description |
With the rapid popularization of 5G communication and internet of things technologies, the amount of information has increased significantly in opportunistic social networks, and the types of messages have become more and more complex. More and more mobile devices join the network as nodes, making the network scale increase sharply, and the tremendous amount of datatransmission brings a more significant burden to the network. Traditional opportunistic social network routing algorithms lack effective message copy management and relay node selection methods, which will cause problems such as high network delay and insufficient cache space. Thus, we propose an opportunistic social network routing algorithm based on user-adaptive data transmission. The algorithm will combine the similarity factor, communication factor, and transmission factor of the nodes in the opportunistic social network and use information entropy theory to adaptively assign the weights of decision feature attributes in response to network changes. Also, edge nodes are effectively used, and the nodes are divided into multiple communities to reconstruct the community structure. The simulation results show that the algorithm demonstrates good performance in improving the information transmission’s success rate, reducing network delay, and caching overhead. |
topic |
opportunistic social networks weight distribution relay node edge node information entropy |
url |
https://www.mdpi.com/2079-9292/10/10/1138 |
work_keys_str_mv |
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