From Crossbow’s blog:
Crossbow Technology, Inc. (www.xbow.com/eko) announced today the release of the EN2120 eKo Long Range Node. With the communication range between nodes extending up to 2 miles, the eKo Long Range node is the only true mesh wireless solution with this ability, increasing the coverage area four to five times that of other wireless solutions.
“The eKo system and specifically the new EN2120 Long Range Node allows users to gather data from a larger area with less nodes thereby reducing their installation costs and simultaneously expanding their coverage area,” said Jack Coots of Iris Connection, Inc. “In the Central Valley users have large fields and orchards making this capability crucial to enable complete cost-effective monitoring of their planted acreage.”
More info here.
April 12-16, 2010, Stockholm, Sweden
Abstract Registration Deadline: October 23rd, 2009
The International Conference on Information Processing in Sensor Networks (IPSN) is a leading, single-track, annual forum on sensor network research.
IPSN brings together researchers from academia, industry, and government to present and discuss recent advances in both theoretical and experimental
research. Its scope includes signal and image processing, information and coding theory, databases and information management, distributed algorithms,
networks and protocols, wireless communications, machine learning, and embedded systems design.
The conference features two interleaved tracks, the Information Processing (IP) track, and the Sensor Platforms, Tools and Design Methods (SPOTS) track. The two tracks have separate program committees to evaluate their submissions. Authors should carefully review the intended foci of these two tracks to decide which track is better suited for their work, and they are encouraged to contact program chairs with questions or clarifications.
The Information Processing (IP) track focuses on algorithms, systems, theory for information processing using networks of embedded sensors.
Sensorpedia connects sensors composed of various standards through a Wikipedia-like platform with three important distinctions: links to near-real-time, streaming data; support of interactive mashups; and restriction of authorship to approved personnel. Nearly all types of sensors are targeted for inclusion: smoke detectors, intrusion alarms, weather sensors, video cameras, cell phones, global positioning systems, seismic sensors, acoustic sensors, chemical sensors, radiological sensors, pressure gauges, medical instrumentation, telemetry systems, home security systems and alarms.
The richness of the data connected from the sensors together could give powerful early warning of disasters, improving our nation’s preparedness, security and emergency response. Currently, this sensor data is disparate, reported to diverse entities or not reported at all, forming an incomplete picture of the environment. With Sensorpedia, Local, state, and federal public safety officials, intelligence analysts and planners, and emergency response workers can tap into centralized sensor information to better connect the dots and inform their planning and decisionmaking.
More info here and here.
Finding a parking spot at a hospital can be stressful for drivers anxious to enter the facility quickly, either to seek medical attention or to visit loved ones. Administrators at theRonald Reagan UCLA Medical Center, a new hospital on the UCLA campus, hope a network of sensors used to monitor traffic in its garage will make parking faster and easier for visitors and staff members. In the long run, the data collected could also provide insights enabling the hospital to optimize the number of parking spaces allocated for workers and guests, according to David Karwaski, manager of planning and policy at UCLA’s Department of Transportation.
The monitoring system comprises infrared Wireless Sensor Network Modules from National Instruments (NI), mounted at the parking garage’s entrances and exits each time a car drives by. These events are collected in NI’s LabVIEW software application. The data is analyzed to determine the number of available parking spots on the monitored floors, based on the total number of spaces on that floor, as well as on the number of cars each sensor detects entering or exiting.
More info here.
The Harvard RoboBees project has postdoc openings in the areas of wireless sensor networks, embedded computing, swarm robotics, and biologically-inspired multiagent systems.
Check out the job posting here for more details.
A sensor that monitors how effectively a plant takes up water and nutrients from the soil could help farmers grow drought-resistant crops within the next decade.
The device is being developed by researchers at Manchester University to identify plant varieties that are tolerant to future climate conditions. Based on electrical imaging techniques used in healthcare and manufacturing, the team have adapted the technology for use in the subsoil analysis of plant behaviour.
Principal investigator Dr Bruce Grieve, from the Syngenta Sensors University Innovation Centre, said: ‘If you can monitor a chemical plant for how well a pressure filter is operating, then you can apply the same technique to soil, which is effectively also a filter for water and nutrients. We’re hoping to create an image reconstruction of the water movement using a soft-field sensor to examine how different plants draw on their surrounding moisture.’
More info here.
First International Workshop the Web of Things (WoT 2010)
in conjunction with the 8th IEEE International Conference on Pervasive Computing and Communications (PerCom 2010), Mannheim, Germany
Paper submission deadline: October 18, 2009
Notification of acceptance: December 21, 2009
Camera-ready papers due: January 29, 2010
The world of embedded devices has experienced radical changes over the past few years as real-world objects can now easily connect to the Internet. This convergence of physical computing devices (wireless sensor networks, mobile phones, embedded computers, etc.) and the Internet provides new design opportunities and challenges. The Internet of Things has mainly focused on establishing connectivity in a variety of challenging and constrained networking environments, and the next logical step in the evolution in pervasive computing builds on top of network connectivity by focusing on the application layer: how to develop ubiquitous computing applications on top of heterogenous devices? The Web of Things is the vision that brings embedded devices into the Web by using Web standards as application protocol to interact with things. This workshop aims at bringing together the pervasive computing and Web communities to explore the possibilities for using the core principles and technologies of modern Web architecture (e.g., HTTP, REST, Atom, JSON) for seamless integration of things into the Web and developing applications on top of web-enabled devices (physical mashups).