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David Martin 0001

dblp:40/5660-1 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

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

Computer networks · 1

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
Internet architecture and protocols · 39% Wireless networking · 30% Internet of things and sensor networks · 30%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet architecture and protocols › information-centric networking
content-centric networking
0.112012
On-demand content-centric wireless networking · MobiCom 2012
Wireless networking › wireless network protocols
peer discovery
0.112012
On-demand content-centric wireless networking · MobiCom 2012
Internet of things and sensor networks
service discovery
0.112012
On-demand content-centric wireless networking · MobiCom 2012

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

client-driven signaling · 0.1broadcast medium · 0.1
YearPublicationVenuePosition
2012 On-demand content-centric wireless networking
abstract
Typical scenarios in the city or on campus, show a high proliferation of wireless communication devices such as smartphones, laptops or netbooks. Wireless 802.11 networks between these devices allow for a spontaneous exchange of content or provision of services without the need for infrastructure-based services. However, the above mentioned proliferation of devices and therefore large number of networks hinders users in identifying and selecting the network that serves a specific request. We propose an approach to client-driven content-centric wireless networking in which the user specifically signals his request for a user, content item or service via 802.11 management frames. Upon reception of these frames, wireless devices that serve this request establish a dedicated wireless network on-demand. Our approach seamlessly integrates into the 802.11 association process and therefore provides support for unmodified wireless devices. Furthermore, by leveraging the wireless broadcast medium, we achieve pervasive service and peer discovery without the overhead of iterating through existing networks or running a traditional service discovery protocol.
Hanno Wirtz, David Martin 0001, Benjamin Grap, Klaus Wehrle
MobiCom2