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Intel Goes to School

Chip maker looks to academia for ideas.

March 28, 2005 12:00 PM ET

Computerworld - On Maine's Great Duck Island, scientists studying small sea birds called Leach's storm petrels are using a network of tiny wireless sensors embedded in the birds' nests to gather information.


The sensors, or "motes," are used to monitor environmental conditions around the nesting burrows. One day, they could form the basis for intelligent wireless networks capable of harvesting a wide range of information from their surroundings. Applications could be as diverse as agricultural management, earthquake monitoring and military operations.


A group of researchers at an Intel Corp.-funded lab at the University of California, Berkeley, is investigating that possibility and many others.


"We are trying to prototype a future in which there are many, many small sensor devices that are able to get a very fine physical sensing of the real world," says professor Joseph Hellerstein, director of the Intel lab at Berkeley.


Intel Research Berkeley is one of four university "lablets" that the chip maker set up to identify technologies worthy of "acceleration and amplification," says Kevin Teixeria, a spokesman for Intel Research.


The other three labs are located at Carnegie Mellon University in Pittsburgh, the University of Washington in Seattle and the University of Cambridge in England.


Berkeley


Each Intel lablet has a specific focus. At Berkeley, the focus is on what Intel calls "extremely networked systems," and the lab is developing operating systems and programming tools for wireless sensor networks of the kind being tested on Great Duck Island.


The laboratory has already developed an operating system called TinyOS and a query-processing technology called TinyDB, which is designed to simplify the task of data collection.


Berkeley researchers are now building a suite of tools called the Tiny Application Sensor Kit (TASK), which Hellerstein says will make it easy for even nontechnical users to deploy applications using sensor networks.


TASK components include TinyDB and several client-side tools for helping users set data collection, filtering and monitoring rules.


TinyOS runs on the sensor motes, with TinyDB acting as a sort of proxy gateway to the sensor network. TinyDB provides a SQL-like interface through which users specify the data they want extracted from the sensor network and how often they want the data.


TinyDB collects raw information from the sensors and then filters and aggregates it and sends it to a server or PC for further processing. The sensor network technology is also being tested at various other locations, including on an oil rig off the coast of northern Scotland, where it is being used to study vibration of onboard equipment.


Cambridge



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