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This diagram shows WiGiT's relationship to other related projects and
organizations. To enlarge, click on the image.
Image courtesy WiGiT.
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Power is a major concern, because mobile devices generally operate on
batteries or in some cases, solar power. The limited bandwidth
available via a wireless connection is also a concern, as is storage
space for any data which is recorded. Finally, mobile devices have
limited processing power.
“We’re talking about sort of smart and dumb devices at the edge,”
McKnight said. The smart devices are faster, with more storage space
than the dumb devices. Even so, they are limited in what they can handle
in comparison to the nodes found on a traditional grid.
The smart devices can dynamically manage the dumb devices,
coordinating the transfer of information, data, and computational jobs.
It could transfer power-hungry jobs from devices running low on power to
fully-charged devices. It could transfer more computationally intensive
jobs from dumb devices to smart devices, and from there to a
traditional grid node.
“There’s this ad hoc layer of smart devices that could make these
decisions,” McKnight said. “Sometimes it makes sense to do it locally.
Sometimes it should be passed along. And that depends on what the
purpose is. And it also depends on the dependability of the intermediary
device resource near the sensor.” Security and encryption are also
areas of difficulty; some security measures may overload the device,
making it difficult to transfer while keeping the information safe.
McKnight is looking forward to studying the data they record once
researchers begin to use WiGiT for their own experiments.
“We’re going to have this incredibly huge data set of our early
applications and users. Analyzing that will I think be very interesting
and we’ll learn a lot,” McKnight said. “So our purpose is to first do
experiments on real resources, real networks, and with real people, and
second… agree on open specifications, new standards, so that anyone who
wants to play can say okay, here’s the open APIs that are recommended by
WiGiT.”
The WiGiT team will be able to use the data they record for more than
just troubleshooting their technology. It will also be invaluable for
learning how people interact with wireless grids.
It’s still early days for the WiGiT project, which began only a year
ago with a funding grant from the NSF-PFI. This summer, the Syracuse
WiGiT team plans to coordinate with some of the experiments running on
CORNET at Virginia Tech. They’ll also be working on layering new
applications over their lightweight grid edgeware. By fall, they aim to
release the first draft of the WiGiT specifications.
Researchers from a number of institutions have recently joined the
collaboration, including the University of Virginia, University of
Wisconsin, Rochester Institute of Technology, and the State University
of New York College of Environmental Science and Forestry.
“We expect to have the process for others to join in more formally
set up by July,” McKnight said. “If you join us, you’re consenting to
share data on what you do with WiGiT with us. We’re studying you or your
use of WiGiT.”
What next? The WiGiT collaboration is expected to produce open
specifications by 2012, but McKnight is expecting the fruits of their
labor to live on and evolve. Said McKnight, “We have a bandwagon. We
want everyone to jump on our specification.”
—Miriam Boon, iSGTW |