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Richard Gass

dblp:47/6150 · DBLP profile ↗
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4ranked-venue papers
2as first author
0since 2021 · last 2010
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2Security and privacy · 1 · 1 first-author

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 · 38% Internet of things and sensor networks · 30% Routing and switching · 14%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking › mobility models
intercontact time distribution
0.122007
Impact of Human Mobility on Opportunistic Forwarding Algorithms · IEEE Trans. Mob. Comput. 2007
Impact of Human Mobility on the Design of Opportunistic Forwarding Algorithms · INFOCOM 2006
Internet of things and sensor networks › opportunistic networks
opportunistic forwarding
0.122007
Impact of Human Mobility on Opportunistic Forwarding Algorithms · IEEE Trans. Mob. Comput. 2007
Impact of Human Mobility on the Design of Opportunistic Forwarding Algorithms · INFOCOM 2006
Routing and switching › packet forwarding
delay-tolerant forwarding
0.112007
Impact of Human Mobility on Opportunistic Forwarding Algorithms · IEEE Trans. Mob. Comput. 2007
Cellular and mobile networks › mobility management › user mobility
human mobility modeling
0.112007
Impact of Human Mobility on Opportunistic Forwarding Algorithms · IEEE Trans. Mob. Comput. 2007
Wireless networking
human mobility
0.112006
Impact of Human Mobility on the Design of Opportunistic Forwarding Algorithms · INFOCOM 2006
Internet of things and sensor networks
delay tolerant networks
0.012006
Impact of Human Mobility on the Design of Opportunistic Forwarding Algorithms · INFOCOM 2006

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

trace analysis · 0.1renewal theory · 0.1
YearPublicationVenuePosition
2010 An Experimental Performance Comparison of 3G and Wi-Fi
Richard Gass, Christophe Diot
PAM1
2010 Eliminating Backhaul Bottlenecks for Opportunistically Encountered Wi-Fi Hotspots
abstract
Wi-Fi access points can be found in any urban environment and have the potential to be a source of useful bandwidth even for users that are only in range for short periods of time. In this paper, we describe how in-motion networking is capable of exploiting short connection opportunities and transferring significant amounts of data by using only open or community access points. We describe the issues facing the in-motion user of today and present a protocol that is capable of eliminating backhaul bottlenecks at the access point's connection to the Internet. We describe and present the results of our implementation with measurements in an urban area of a city.
Richard Gass, Christophe Diot
VTC Spring1
2007 Impact of Human Mobility on Opportunistic Forwarding Algorithms
abstract
We study data transfer opportunities between wireless devices carried by humans. We observe that the distribution of the intercontact time (the time gap separating two contacts between the same pair of devices) may be well approximated by a power law over the range [10 minutes; 1 day]. This observation is confirmed using eight distinct experimental data sets. It is at odds with the exponential decay implied by the most commonly used mobility models. In this paper, we study how this newly uncovered characteristic of human mobility impacts one class of forwarding algorithms previously proposed. We use a simplified model based on the renewal theory to study how the parameters of the distribution impact the performance in terms of the delivery delay of these algorithms. We make recommendations for the design of well-founded opportunistic forwarding algorithms in the context of human-carried devices
Augustin Chaintreau, Pan Hui 0001, Jon Crowcroft, Christophe Diot, Richard Gass, James Scott
IEEE Trans. Mob. Comput.5
2006 Impact of Human Mobility on the Design of Opportunistic Forwarding Algorithms
abstract
Abstract — Studying transfer opportunities between wireless devices carried by humans, we observe that the distribution of the inter-contact time, that is the time gap separating two contacts of the same pair of devices, exhibits a heavy tail such as one of a power law, over a large range of value. This observation is confirmed on six distinct experimental data sets. It is at odds with the exponential decay implied by most mobility models. In this paper, we study how this new characteristic of human mobility impacts a class of previously proposed forwarding algorithms. We use a simplified model based on the renewal theory to study how the parameters of the distribution impact the delay performance of these algorithms. We make recommendation for the design of well founded opportunistic forwarding algorithms, in the context of human carried devices. I.
Augustin Chaintreau, Pan Hui 0001, Jon Crowcroft, Christophe Diot, Richard Gass, James Scott
INFOCOM5