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Kobby Essien

dblp:26/1260 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2005
—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
1 paper
Network measurement and analytics · 70% Wireless networking · 30%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network measurement and analytics
traffic analysis
0.012002
Analysis of a campus-wide wireless network · MobiCom 2002
Network measurement and analytics › workload characterization
usage characterization
0.012002
Analysis of a campus-wide wireless network · MobiCom 2002
Network measurement and analytics
wireless network measurement
0.012002
Analysis of a campus-wide wireless network · MobiCom 2002
Wireless networking
WLAN
0.012002
Analysis of a campus-wide wireless network · MobiCom 2002
Wireless networking
mobility
0.012002
Analysis of a campus-wide wireless network · MobiCom 2002

Methods — techniques the papers use, named apart from their topics

network trace analysis · 0.0measurement study · 0.0
YearPublicationVenuePosition
2005 Analysis of a Campus-Wide Wireless Network
David Kotz, Kobby Essien
Wirel. Networks2
2002 Analysis of a campus-wide wireless network
abstract
Understanding usage patterns in wireless local-area networks (WLANs) is critical for those who develop, deploy, and manage WLAN technology, as well as those who develop systems and application software for wireless networks. This paper presents results from the largest and most comprehensive trace of network activity in a large, production wireless LAN. For eleven weeks we traced the activity of nearly two thousand users drawn from a general campus population, using a campus-wide network of 476 access points spread over 161 buildings. Our study expands on those done by Tang and Baker, with a significantly larger and broader population.We found that residential traffic dominated all other traffic, particularly in residences populated by newer students; students are increasingly choosing a wireless laptop as their primary computer. Although web protocols were the single largest component of traffic volume, network backup and file sharing contributed an unexpectedly large amount to the traffic. Although there was some roaming within a network session, we were surprised by the number of situations in which cards roamed excessively, unable to settle on one access point. Cross-subnet roams were an especial problem, because they broke IP connections, indicating the need for solutions that avoid or accommodate such roams.
David Kotz, Kobby Essien
MobiCom2