Key Nodes Recognition in Opportunistic Network

2020 ◽  
pp. 178-188
Author(s):  
Zhifei Wang ◽  
Gang Xu ◽  
Fengqi Wei ◽  
Zhihan Qi ◽  
Liqiang He
Keyword(s):  
Opportunistic Network ◽  
Key Nodes

scholarly journals Opportunistic Network Algorithms for Internet Traffic Offloading in Music Festival Scenarios

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3315
Author(s):  
Aida-Ștefania Manole ◽  
Radu-Ioan Ciobanu ◽  
Ciprian Dobre ◽  
Raluca Purnichescu-Purtan
Keyword(s):  
High Performance ◽  
Geographical Area ◽  
Mobility Model ◽  
Routing Algorithms ◽  
Message Delivery ◽  
Opportunistic Network ◽  
Key Factors ◽  
Network Algorithms ◽  
Music Festival ◽  
Social Metrics

Constant Internet connectivity has become a necessity in our lives. Hence, music festival organizers allocate part of their budget for temporary Wi-Fi equipment in order to sustain the high network traffic generated in such a small geographical area, but this naturally leads to high costs that need to be decreased. Thus, in this paper, we propose a solution that can help offload some of that traffic to an opportunistic network created with the attendees’ smartphones, therefore minimizing the costs of the temporary network infrastructure. Using a music festival-based mobility model that we propose and analyze, we introduce two routing algorithms which can enable end-to-end message delivery between participants. The key factors for high performance are social metrics and limiting the number of message copies at any given time. We show that the proposed solutions are able to offer high delivery rates and low delivery delays for various scenarios at a music festival.

Collaborative Data Collection with Opportunistic Network Erasure Coding

2013 ◽  
Vol 24 (10) ◽  
pp. 1941-1950 ◽  
Author(s):  
Mingsen Xu ◽  
Wen-Zhan Song ◽  
Yichuan Zhao
Keyword(s):  
Data Collection ◽  
Erasure Coding ◽  
Opportunistic Network

Analysis of Identification Methods of Key Nodes in Transportation Network

2022 ◽  
Author(s):  
Qiang Lai ◽  
Hong-hao Zhang
Keyword(s):  
Transportation Networks ◽  
Transportation Network ◽  
Practical Significance ◽  
Node Degree ◽  
Connected Subgraph ◽  
Network Efficiency ◽  
Identification Methods ◽  
Identification Method ◽  
Bus Networks ◽  
Key Nodes

Abstract The identification of key nodes plays an important role in improving the robustness of the transportation network. For different types of transportation networks, the effect of the same identification method may be different. It is of practical significance to study the key nodes identification methods corresponding to various types of transportation networks. Based on the knowledge of complex networks, the metro networks and the bus networks are selected as the objects, and the key nodes are identified by the node degree identification method, the neighbor node degree identification method, the weighted k-shell degree neighborhood identification method (KSD), the degree k-shell identification method (DKS), and the degree k-shell neighborhood identification method (DKSN). Take the network efficiency and the largest connected subgraph as the effective indicators. The results show that the KSD identification method that comprehensively considers the elements has the best recognition effect and has certain practical significance.

Voltage Stability Criterion in New and Key Nodes and Regional Research

2012 ◽  
Vol 450-451 ◽  
pp. 582-585
Author(s):  
Qing En Li ◽  
Rui Ren ◽  
Jian Qiu
Keyword(s):  
System Theory ◽  
Stability Criterion ◽  
Voltage Stability ◽  
Power Network ◽  
Regional Power ◽  
Regional Research ◽  
Rational Analysis ◽  
Key Nodes ◽  
Roll Out ◽  
Modal Method

In recent years， as the load increasing gradually，problems in voltage stability of regional power network which is the terminal of power grid is serious. From the voltage stability machine rational analysis to roll out small interfering voltage stability criterion of new, and the modal method is used to determine the key nodes and areas of the system theory basis.

Metabolic Flux Analysis and Optimal Control in the Process of Ectoine Fermentation

2011 ◽  
Vol 393-395 ◽  
pp. 851-854
Author(s):  
Lin Hua Zhang ◽  
Xin Zheng ◽  
Ya Jun Lang
Keyword(s):  
Optimal Control ◽  
Batch Fermentation ◽  
Metabolic Flux ◽  
Monosodium Glutamate ◽  
Nitrogen Sources ◽  
Flux Analysis ◽  
Key Factors ◽  
Carbon And Nitrogen Sources ◽  
Carbon And Nitrogen ◽  
Key Nodes

In this study, the metabolic network of ectoine by Halomonas venusta DSM 4743 was established. The key nodes to influence the ectoine fermentation in metabolic flux and the basis during optimal control of fermentation process were investigated. The results showed that G6P, α-KG and OAA nodes were the key factors to influence the synthesis of ectoine. The metabolic flux distributions at the key nodes were significantly improved and ectoine concentration was enhanced in ectoine fermentation by adopting monosodium glutamate as the sole carbon and nitrogen sources, feeding monosodium glutamate and supplying oxygen limitedly. The batch fermentation was carried out in 10 L fermentor , the concentration and yield of ectoine was 8.4 g/L and 0.1 g/g, respectively, which were increased by 2.8 and 2 times, by comparison with batch fermentation using glucose as carbon source.

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