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Siemens has also reduced the sensors’ power consumption by using power-scavenging techniques. Instead of relying solely on a lithium-ion battery, the sensor is designed to acquire energy such as ambient light from its surroundings. The sensors also save power by going into “sleep” mode when the environment is static and information doesn’t need to be transmitted, since sending information is a power-hungry operation.

With the production costs of sensors and their demand for power decreasing, Ahmed predicts that the one of the first applications for them will be “comfortstat,” as he likes to call it. “It would give you an index of comfort, not just temperature,” he says. Ahmed envisions a sensor in every room of a home, collecting information about humidity, airflow, and levels of carbon dioxide, carbon monoxide, and volatile organic compounds, such as those in paint or aerosol sprays.

These sensors would send environmental information back to the comfortstat, which would display the particular conditions in each room and alert people about any hazards. This application would be especially useful in large buildings, where the sensors could identify, for instance, pockets of heat, saving energy and money, Ahmed says.

Another early application being tested by researchers at the University of Florida in Gainesville, with sponsorship from Siemens, is using sensor networks to monitor small animal cages in research laboratories. While unglamorous, this application could make the large mouse colonies needed for genetic and pharmacological research easier to maintain and cheaper to operate.

Ahmed explains that his sensors would track ammonia levels in the cages – high ammonia levels in urine can mean an infection – as well as temperature and water levels (overactive mice sometimes jam the nozzles on their water bottles). These lab environments need to be scrupulously monitored to ensure that the animals are responding to certain treatments, not unintended environmental elements. Each cage’s information can also be displayed so that care takers can find and fix a problem quickly.

Ahmed estimates that the comfortstat and mouse-cage applications are roughly two years from commercialization. Meanwhile, Siemens is beginning market research to determine how best to sell its sensors.

“Siemens’ application is an excellent example of exploiting available capabilities” of sensor networks, says Deborah Estrin, director of UCLA’s Center for Embedded Networked Sensing.

But Estrin says the challenge with such multisensor networks, especially as the sensors become more versatile, is sorting through all the data collected at each sensor, and ultimately at the hub.

Ahmed agrees that people shouldn’t have to deal with the raw data from large networks of sensors. “The whole idea is to not really throw out a bunch of sensors, but to actually create value,” he says. To accomplish that, his team is working on data-mining algorithms that can pick out useful information, as well as machine learning algorithms that can predict which information will be useful based on prior data.

It may be a while longer before the typical house is equipped with a comfortstat. Instead, businesses with large buildings or manufacturing plants, where the high initial cost of installing a large number of wireless environmental sensors is more justifiable, will most likely adopt the technology first, says Ralph Kling, director of Intel’s Sensor Network Operation. “You reach a higher volume…and it becomes more attractive to users,” he says.

For now, though, a successful business plan is still the missing element in the world of wireless sensors. “I kind of learned from my own experience that if you want to commercialize technology, the technology isn’t the barrier,” says Ahmed. “It’s how we market it.”

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