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Geoff Mulligan

dblp:89/4737 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2008
—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 of things and sensor networks · 87% Internet architecture and protocols · 13%

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

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › low-power wireless › low-power and lossy networks
6LoWPAN
0.112008
Making sensor networks IPv6 ready · SenSys 2008
Internet of things and sensor networks
wireless sensor network
0.112008
Making sensor networks IPv6 ready · SenSys 2008
Internet architecture and protocols
IPv6
0.012008
Making sensor networks IPv6 ready · SenSys 2008

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

IPv6 stack implementation · 0.1
YearPublicationVenuePosition
2008 Making sensor networks IPv6 ready
abstract
With emerging IPv6-based standards such as 6LowPAN and ISA100a, full IPv6 sensor networks are the next major step. With millions of deployed embedded IPv6 devices, interoperability is of major importance, both within the sensor networks and between the sensors and the Internet hosts. We present uIPv6, the first IPv6 stack for memory-constrained devices that passes all Phase-1 IPv6 Ready certification tests. This is an important step for end-to-end interoperability between IPv6 sensors and any IPv6 capable device. To allow widespread community adoption, we release uIPv6 under a permissive open source license that allows both commercial and non-commercial use.
Mathilde Durvy, Julien Abeillé, Patrick Wetterwald, Colin O'Flynn, Blake Leverett, Eric Gnoske, Michael Vidales, Geoff Mulligan, Nicolas Tsiftes, Niclas Finne, Adam Dunkels
SenSys8