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Open AccessArticle

A Comprehensive Multi-Scenario Routing Algorithm Based on Fuzzy Control Theory in Opportunistic Social Network

by 1, 1,*, 2, 2,* and 2
1
School of Software, Xinjiang University, Urumqi 830000, China
2
School of Computer Science and Engineering, Central South University, Changsha 410075, China
*
Authors to whom correspondence should be addressed.
Symmetry 2020, 12(4), 589; https://doi.org/10.3390/sym12040589
Received: 4 March 2020 / Revised: 27 March 2020 / Accepted: 27 March 2020 / Published: 8 April 2020
With the flourishing of big data and the 5G era, the amount of data to be transmitted in the communication process is increasing, and end-to-end communication in traditional social networks has been unable to meet the current communication needs. Therefore, in order to improve the success rate of data forwarding, social networks propose that the sender of the message should reasonably choose the next hop node. However, existing routing and forwarding algorithms do not take into account nodes that are live in different scenarios, and the applicable next hop node metrics are also different. These algorithms only consider the forwarding preferences of the nodes during working hours and do not consider the forwarding preferences of the nodes during non-working hours. We propose a routing algorithm based on fuzzy decision theory, which aims at a more accurate decision on selecting the next hop. A routing and forwarding algorithm based on fuzzy decision is proposed in this paper. This algorithm symmetrical divides scenes in opportunistic social networks into working time and non-working time according to real human activity. In addition, metrics are designed symmetrically for these two scenarios. Simulation results demonstrate that, in the best case, the proposed scheme presents an average delivery ratio of 0.95 and reduces the average end-to-end delay and average overhead compared with the epidemic routing algorithm, the EIMSTalgorithm, the ICMT algorithm, and the FCNSalgorithm. View Full-Text
Keywords: opportunistic networks; routing algorithm; fuzzy control system; fuzzy inference logic opportunistic networks; routing algorithm; fuzzy control system; fuzzy inference logic
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MDPI and ACS Style

Yu, Y.; Yu, J.; Chen, Z.; Wu, J.; Yan, Y. A Comprehensive Multi-Scenario Routing Algorithm Based on Fuzzy Control Theory in Opportunistic Social Network. Symmetry 2020, 12, 589.

AMA Style

Yu Y, Yu J, Chen Z, Wu J, Yan Y. A Comprehensive Multi-Scenario Routing Algorithm Based on Fuzzy Control Theory in Opportunistic Social Network. Symmetry. 2020; 12(4):589.

Chicago/Turabian Style

Yu, Yao; Yu, Jiong; Chen, Zhigang; Wu, Jia; Yan, Yeqing. 2020. "A Comprehensive Multi-Scenario Routing Algorithm Based on Fuzzy Control Theory in Opportunistic Social Network" Symmetry 12, no. 4: 589.

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