2016
DOI: 10.1007/978-3-319-30505-9_6
|View full text |Cite
|
Sign up to set email alerts
|

Crowdsourcing Measurements of Mobile Network Performance and Mobility During a Large Scale Event

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
6
0

Year Published

2016
2016
2019
2019

Publication Types

Select...
3
3

Relationship

1
5

Authors

Journals

citations
Cited by 10 publications
(6 citation statements)
references
References 7 publications
0
6
0
Order By: Relevance
“…In [4], we used the presented dataset to analyze network load characteristics at a large-scale event. We analyzed the movement patterns of the users, showing constant movement even during the crowded times.…”
Section: Examplesmentioning
confidence: 99%
See 1 more Smart Citation
“…In [4], we used the presented dataset to analyze network load characteristics at a large-scale event. We analyzed the movement patterns of the users, showing constant movement even during the crowded times.…”
Section: Examplesmentioning
confidence: 99%
“…As another example, Xu et al [7] used crowdsourcing to investigate a cellular network in Singapore in daily life situations. In this paper, we focus on the dataset of a large-scale event, as partly analysed in [4].…”
Section: Introductionmentioning
confidence: 99%
“…Goal of the evaluation is to verify the concept of transitions in pub/sub systems for crowd communication as a viable solution to react to environmental changes in a flexible and generic way. Therefore, we model a scaled-down scenario based on real-world crowdsourced measurements of people movement during a music festival [8], as illustrated in Figure 4. The scenario can roughly be categorized into two phases with respect to movement characteristics: a relatively static phase during concerts (c.f.…”
Section: Integrating Existing Pub/sub Protocolsmentioning
confidence: 99%
“…Based on a simulative evaluation of a prototype of our proposed framework we quantify the performance benefits as well as the additional overhead introduced by executing transitions between two basic pub/sub protocols. The simulation setup is derived from real-world measurements of people's behavior during a large-scale music festival [8], thereby providing valuable insights into protocol performance in a realistic setting. Our findings reveal that transitions executed by our framework enable the system to adapt to changing conditions, while at the same time keeping the control overhead reasonably low.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation