scholarly journals An Effective Data Transmission Algorithm Based on Social Relationships in Opportunistic Mobile Social Networks

Algorithms ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 125 ◽  
Author(s):  
Yeqing Yan ◽  
Zhigang Chen ◽  
Jia Wu ◽  
Leilei Wang
Keyword(s):  
Social Networks ◽  
Social Relationships ◽  
Data Transmission ◽  
Human Activities ◽  
Opportunistic Networks ◽  
Network Routing ◽  
Transmission Delay ◽  
Mobile Social Networks ◽  
Routing Overhead ◽  
Opportunistic Mobile Social Networks

With the popularization of mobile communication equipment, human activities have an increasing impact on the structure of networks, and so the social characteristics of opportunistic networks become increasingly obvious. Opportunistic networks are increasingly used in social situations. However, existing routing algorithms are not suitable for opportunistic social networks, because traditional opportunistic network routing does not consider participation in human activities, which usually causes a high ratio of transmission delay and routing overhead. Therefore, this research proposes an effective data transmission algorithm based on social relationships (ESR), which considers the community characteristics of opportunistic mobile social networks. This work uses the idea of the faction to divide the nodes in the network into communities, reduces the number of inefficient nodes in the community, and performs another contraction of the structure. Simulation results show that the ESR algorithm, through community transmission, is not only faster and safer, but also has lower transmission delay and routing overhead compared with the spray and wait algorithm, SCR algorithm and the EMIST algorithm.

scholarly journals Routing Algorithm Based on User Adaptive Data Transmission Scheme in Opportunistic Social Networks

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1138
Author(s):  
Yu Lu ◽  
Liu Chang ◽  
Jingwen Luo ◽  
Jia Wu
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Data Transmission ◽  
Routing Algorithm ◽  
Relay Node ◽  
Network Routing ◽  
Transmission Factor ◽  
Transmission Scheme ◽  
Network Delay ◽  
Significant Burden

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.

A Dynamic Trust Framework for Opportunistic Mobile Social Networks

2018 ◽  
Vol 15 (1) ◽  
pp. 319-329 ◽  
Author(s):  
Eric Ke Wang ◽  
Yueping Li ◽  
Yunming Ye ◽  
S. M. Yiu ◽  
Lucas C. K. Hui
Keyword(s):  
Social Networks ◽  
Mobile Social Networks ◽  
Dynamic Trust ◽  
Opportunistic Mobile Social Networks

Predicting temporal centrality in Opportunistic Mobile Social Networks based on social behavior of people

2016 ◽  
Vol 20 (6) ◽  
pp. 885-897 ◽  
Author(s):  
Huan Zhou ◽  
Linping Tong ◽  
Shouzhi Xu ◽  
Chungming Huang ◽  
Jialu Fan
Keyword(s):  
Social Networks ◽  
Social Behavior ◽  
Mobile Social Networks ◽  
Opportunistic Mobile Social Networks

scholarly journals An Adaptive Delay-Tolerant Routing Algorithm for Data Transmission in Opportunistic Social Networks

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1915
Author(s):  
Shupei Chen ◽  
Zhigang Chen ◽  
Jia Wu ◽  
Kanghuai Liu
Keyword(s):  
Social Networks ◽  
Data Transmission ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Routing Algorithm ◽  
Opportunistic Networks ◽  
Membership Functions ◽  
Inference System ◽  
Fuzzy Input ◽  
Delay Tolerant

In opportunistic networks, the requirement of QoS (quality of service) poses several major challenges to wireless mobile devices with limited cache and energy. This implies that energy and cache space are two significant cornerstones for the structure of a routing algorithm. However, most routing algorithms tackle the issue of limited network resources from the perspective of a deterministic approach, which lacks an adaptive data transmission mechanism. Meanwhile, these methods show a relatively low scalability because they are probably built up based on some special scenarios rather than general ones. To alleviate the problems, this paper proposes an adaptive delay-tolerant routing algorithm (DTCM) utilizing curve-trapezoid Mamdani fuzzy inference system (CMFI) for opportunistic social networks. DTCM evaluates both the remaining energy level and the remaining cache level of relay nodes (two-factor) in opportunistic networks and makes reasonable decisions on data transmission through CMFI. Different from the traditional fuzzy inference system, CMFI determines three levels of membership functions through the trichotomy law and evaluates the fuzzy mapping from two-factor fuzzy input to data transmission by curve-trapezoid membership functions. Our experimental results show that within the error interval of 0.05~0.1, DTCM improves delivery ratio by about 20% and decreases end-to-end delay by approximate 25% as compared with Epidemic, and the network overhead from DTCM is in the middle horizon.

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