Filter Results:
- Full text PDF available (4)
Publication Year
2004
2013
- This year (0)
- Last 5 years (1)
- Last 10 years (6)
Publication Type
Co-author
Journals and Conferences
Learn More
Developing sensor network applications demands a new set of tools to aid programmers. A number of simulation environments have been developed that provide varying degrees of scalability, realism, and… (More)
- Geoffrey Werner-Allen, Patrick Swieskowski, Matt Welsh
- IPSN '05
- 2005
As wireless sensor networks have emerged as a exciting new area of research in Computer Science, many of the logistical challenges facing those who wish to develop, deploy, and debug applications on… (More)
We present a science-centric evaluation of a 19-day sensor network deployment at Reventador, an active volcano in Ecuador. Each of the 16 sensors continuously sampled seismic and acoustic data at 100… (More)
- Geoffrey Werner-Allen, Konrad Lorincz, +4 authors Jonathan Lees
- IEEE Internet Computing
- 2006
Augmenting heavy and power-hungry data collection equipment with lighten smaller wireless sensor network nodes leads to faster, larger deployments. Arrays comprising dozens of wireless sensor nodes… (More)
- Geoffrey Werner-Allen, Geetika Tewari, Ankit Patel, Matt Welsh, Radhika Nagpal
- SenSys
- 2005
Synchronicity is a useful abstraction in many sensor network applications. Communication scheduling, coordinated duty cycling, and time synchronization can make use of a synchronicity primitive that… (More)
- Geoffrey Werner-Allen, Jeff Johnson, Mario Ruiz, Jonathan Lees, Matt Welsh
- Proceeedings of the Second European Workshop on…
- 2005
This paper describes our experiences using a wireless sensor network to monitor volcanic eruptions with low-frequency acoustic sensors. We developed a wireless sensor array and deployed it in July… (More)
- Geoffrey Werner-Allen, Stephen Dawson-Haggerty, Matt Welsh
- SenSys
- 2008
An emerging class of sensor networks focuses on reliable collection of high-resolution signals from across the network. In these applications, the system is capable of acquiring more data than can be… (More)
- Konrad Lorincz, Bor-rong Chen, Jason Waterman, Geoffrey Werner-Allen, Matt Welsh
- SenSys
- 2008
This paper presents Pixie, a new sensor node operating system designed to support the needs of data-intensive applications. These applications, which include high-resolution monitoring of acoustic,… (More)
An emerging class of sensor network applications involves the acquisition of high-resolution signals using low-power wireless sensor nodes. Examples include monitoring acoustic, seismic, and… (More)
A growing class of sensor network applications require high data rates and computationally-intensive node-level processing. When deployed into environments where resources are limited and variable,… (More)