Your Lost Gadgets Will Find Each Other

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Graphic by Christine Daniloff, via MIT News Office

Sometimes when one of my remotes is missing, I interrogate the others: “Where’s your friend? I know you know something!” In the future, with wireless positioning systems, a version of that method might actually almost work.

Researchers at MIT’s Wireless Communications and Network Sciences Group think networks of devices that communicate their positions to each other will work better than all of the devices transmitting to a single receiver. The latter is how GPS works, and if you’ve used it, you know it isn’t always very precise. In the lab, MIT’s robots can spot a wireless transmitter within a millimeter.

This seems almost intuitive: the more “eyes” you have on an object, the easier it is to triangulate — the robot version of “the wisdom of crowds.” But the key conceptual breakthrough here isn’t actually the number of transmitters or their network arrangement, but what they’re transmitting. MIT News’s Larry Hardesty writes:

Among [the research group's] insights is that networks of wireless devices can improve the precision of their location estimates if they share information about their imprecision. Traditionally, a device broadcasting information about its location would simply offer up its best guess. But if, instead, it sent a probability distribution â€” a range of possible positions and their likelihood â€” the entire network would perform better as a whole. The problem is that sending the probability distribution requires more power and causes more interference than simply sending a guess, so it degrades the networkâ€™s performance. [The] group is currently working to understand the trade-off between broadcasting full-blown distributions and broadcasting sparser information about distributions.

Much of this research is still theoretical, or has only been deployed in lab settings. But Princeton’s H. Vincent Poor is optimistic about the MIT group’s approach: â€œI don’t see any major obstacles for transferring their basic research to practical applications. In fact, their research was motivated by the real-world need for high-accuracy location-awareness.â€ Like precisely which cushion my remote control is underneath.

Warning: Very Dry Flash Video Of Robots Finding Things Follows

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Author: Tiffany Shoman

Graphic by Christine Daniloff, via MIT News Office

Sometimes when one of my remotes is missing, I interrogate the others: “Where’s your friend? I know you know something!” In the future, with wireless positioning systems, a version of that method might actually almost work.

Researchers at MIT’s Wireless Communications and Network Sciences Group think networks of devices that communicate their positions to each other will work better than all of the devices transmitting to a single receiver. The latter is how GPS works, and if you’ve used it, you know it isn’t always very precise. In the lab, MIT’s robots can spot a wireless transmitter within a millimeter.

This seems almost intuitive: the more “eyes” you have on an object, the easier it is to triangulate — the robot version of “the wisdom of crowds.” But the key conceptual breakthrough here isn’t actually the number of transmitters or their network arrangement, but what they’re transmitting. MIT News’s Larry Hardesty writes:

Among [the research group's] insights is that networks of wireless devices can improve the precision of their location estimates if they share information about their imprecision. Traditionally, a device broadcasting information about its location would simply offer up its best guess. But if, instead, it sent a probability distribution â€” a range of possible positions and their likelihood â€” the entire network would perform better as a whole. The problem is that sending the probability distribution requires more power and causes more interference than simply sending a guess, so it degrades the networkâ€™s performance. [The] group is currently working to understand the trade-off between broadcasting full-blown distributions and broadcasting sparser information about distributions.

Much of this research is still theoretical, or has only been deployed in lab settings. But Princeton’s H. Vincent Poor is optimistic about the MIT group’s approach: â€œI don’t see any major obstacles for transferring their basic research to practical applications. In fact, their research was motivated by the real-world need for high-accuracy location-awareness.â€ Like precisely which cushion my remote control is underneath.

Warning: Very Dry Flash Video Of Robots Finding Things Follows

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Your Lost Gadgets Will Find Each Other

Your Lost Gadgets Will Find Each Other

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