Demo Data from EDBT 2026 / reviewers in the wild / expert
David Martin 0001
dblp:40/5660-1
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet architecture and protocols › information-centric networking
content-centric networking |
0.1 | 1 | 2012 | On-demand content-centric wireless networking · MobiCom 2012 |
Wireless networking › wireless network protocols
peer discovery |
0.1 | 1 | 2012 | On-demand content-centric wireless networking · MobiCom 2012 |
Internet of things and sensor networks
service discovery |
0.1 | 1 | 2012 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | On-demand content-centric wireless networkingabstractTypical 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 |
MobiCom | 2 |