Demo Data from EDBT 2026 / reviewers in the wild / expert
Tsuwei Chen
dblp:00/558
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
2 papers |
Wireless networking · 70% Network measurement and analytics · 24% Internet architecture and protocols · 6% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless networking › WLAN › WLAN architecture
urban wifi mesh |
0.2 | 2 | 2010 | Usage Patterns in an Urban WiFi Network · IEEE/ACM Trans. Netw. 2010 Analysis of a mixed-use urban wifi network: when metropolitan becomes neapolitan · Internet Measurement Conference 2008 |
Wireless networking
WLAN |
0.2 | 2 | 2010 | Usage Patterns in an Urban WiFi Network · IEEE/ACM Trans. Netw. 2010 Analysis of a mixed-use urban wifi network: when metropolitan becomes neapolitan · Internet Measurement Conference 2008 |
Network measurement and analytics › workload characterization
usage characterization |
0.1 | 2 | 2010 | Usage Patterns in an Urban WiFi Network · IEEE/ACM Trans. Netw. 2010 Analysis of a mixed-use urban wifi network: when metropolitan becomes neapolitan · Internet Measurement Conference 2008 |
Internet architecture and protocols
access networks |
0.0 | 1 | 2010 | Usage Patterns in an Urban WiFi Network · IEEE/ACM Trans. Netw. 2010 |
Methods — techniques the papers use, named apart from their topics
measurement study · 0.2mobility pattern analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Usage Patterns in an Urban WiFi NetworkabstractWhile WiFi was initially designed as a local-area access network, mesh networking technologies have led to increasingly expansive deployments of WiFi networks. In urban environments, the WiFi mesh frequently supplements a number of existing access technologies, including wired broadband networks, 3G cellular, and commercial WiFi hotspots. It is an open question what role citywide WiFi deployments play in the increasingly diverse access network spectrum. We study the usage of the Google WiFi network deployed in Mountain View, CA, and find that usage naturally falls into three classes based almost entirely on client device type, which we divide into traditional laptop users, fixed-location access devices, and PDA-like smartphone devices. Moreover, each of these classes of use has significant geographic locality, following the distribution of residential, commercial, and transportation areas of the city. When comparing the network usage of each device class, we find a diverse set of mobility patterns that map well to the archetypal use cases for traditional access technologies. To help place our results in context, we also provide key performance measurements of the mesh backbone and, where possible, compare them to those of previously studied urban mesh networks. Mikhail Afanasyev, Tsuwei Chen, Geoffrey M. Voelker, Alex C. Snoeren |
IEEE/ACM Trans. Netw. | 2 |
| 2008 | Analysis of a mixed-use urban wifi network: when metropolitan becomes neapolitanabstractWhile WiFi was initially designed as a local-area access network, mesh networking technologies have led to increasingly expansive deployments of WiFi networks. In urban environments, the WiFi mesh frequently supplements a number of existing access technologies, including wired broadband networks, 3G cellular, and commercial WiFi hotspots. It is an open question what role city-wide WiFi deployments play in the increasingly diverse access network spectrum. We study the usage of the Google WiFi network deployed in Mountain View, California, and find that usage naturally falls into three classes, based almost entirely on client device type. Moreover, each of these classes of use has significant geographic locality, following the distribution of residential, commercial, and transportation areas of the city. Finally, we find a diverse set of mobility patterns that map well to the archetypal use cases for traditional access technologies. Mikhail Afanasyev, Tsuwei Chen, Geoffrey M. Voelker, Alex C. Snoeren |
Internet Measurement Conference | 2 |