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Vincent Hummel

dblp:94/2695 · 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
2 papers
Internet of things and sensor networks · 70% Network optimization and economics · 13% Wireless networking · 13%

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

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
wireless sensor network
0.122005
The Intel Mote platform: a bluetooth-based sensor network for industrial monitoring · IPSN 2005
Intel Mote: using bluetooth in sensor networks · SenSys 2004
Internet of things and sensor networks › wireless sensor network
wireless sensor network platform
0.122005
The Intel Mote platform: a bluetooth-based sensor network for industrial monitoring · IPSN 2005
Intel Mote: using bluetooth in sensor networks · SenSys 2004
Internet of things and sensor networks › industrial network › industrial wireless networks
industrial wireless sensor network
0.112005
The Intel Mote platform: a bluetooth-based sensor network for industrial monitoring · IPSN 2005
Network optimization and economics › game theory
network formation
0.012004
Intel Mote: using bluetooth in sensor networks · SenSys 2004
Wireless networking › wireless personal area network › bluetooth network
scatternet
0.012004
Intel Mote: using bluetooth in sensor networks · SenSys 2004
Routing and switching › routing
multihop routing
0.012005
The Intel Mote platform: a bluetooth-based sensor network for industrial monitoring · IPSN 2005

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

bluetooth scatternet · 0.0
YearPublicationVenuePosition
2005 The Intel Mote platform: a bluetooth-based sensor network for industrial monitoring
abstract
The Intel mote is a new sensor node platform motivated by several design goals: increased CPU performance, improved radio bandwidth and reliability, and the usage of commercial off-the-shelf components in order to maintain cost-effectiveness. This new platform is built around an integrated wireless microcontroller consisting of an ARM*7 core, a Bluetooth radio, SRAM and FLASH memory, as well as various I/O options. The Intel Mote software architecture is based on an ARM port of TinyOS. Networking and routing layers have been created on top of the TinyOS base to provide Bluetooth-based multi-hop functionality. The network is self-organizing on startup and has mechanisms to repair failed links and circumvent failed nodes. A reliable high bandwidth streaming transport layer has also been created. The Intel Mote was deployed in an equipment monitoring application using industrial vibration sensors. This application was chosen since it benefits from the increased platform capabilities and network bandwidth of the Intel Mote platform. The paper presents a detailed analysis of the observed network operation, packet transfer rates, and power consumption.
Lama Nachman, Ralph Kling, Robert Adler, Jonathan Huang, Vincent Hummel
IPSN5
2004 Intel Mote: using bluetooth in sensor networks
abstract
The Intel Mote is a new sensor node platform motivated by several design goals: increased CPU performance, improved radio bandwidth and reliability and the usage of commercial off-the-shelf components in order to maintain cost-effectiveness. This new platform is built around an integrated wireless microcontroller consisting of an ARM*7 core, a Bluetooth* radio, RAM and FLASH memory as well as various I/O options. Due to the connection-oriented nature of Bluetooth, a new network formation and maintenance algorithms that are optimized for this protocol have been created. In particular, the "scatternet" mode of Bluetooth has been successfully adapted to form networks comprised of multiple piconet.
Ralph Kling, Robert Adler, Jonathan Huang, Vincent Hummel, Lama Nachman
SenSys4