WIRELESS NODES GET A BOOST
The power problem goes beyond available sensor output power levels and high
power-dissipation levels. The power needed for wireless transceiver nodes also
is a concern. BitWave Semiconductor proposed using software-defined radio (SDR)
to deal with this problem. The company points to its Softransceiver concept
as an example of a viable SDR solution that enables seamless global wireless
connectivity (Fig. 5). The SDR concept minimizes
circuit hardware costs. Instead, it relies on software changes to program or
"tune" a circuit to a specific application.
A group of researchers at the University of California at Berkeley came up with a 2.4-GHz wireless transceiver that dissipates only 200µW. Kris Pister, founder and chief technology officer of Dust Networks (and who coined the term "smart dust" while heading R&D efforts at Berkeley), lauds this work as an important step toward low-cost wireless sensing hardware. Dust Networks is working on low-cost wireless sensing software to complement the technology.
"Berkeley's work is all about low-cost hardware. At Dust Networks, we're working
on low-cost software," says Pister. "We came up with communications protocols
that keep wireless radios off 99.995% of the time. Low-power software running
on low-power hardware is what we're looking for. At that point, power consumption
goes down into the single-digit microampere range."
To give users better tools so they can move quickly while developing their core applications, Jennic Ltd. recently showed off its IEEE 802.15.4/ZigBee transceiver modules. The JNS5121MOxxx devices provide minimum bill-of-materials (BOM) costs with minimum engineering time spent on RF circuit design and test development.
Yet the world of ubiquitous sensing, computing, and communications lacks standard software platforms. Adoption of the Tiny Operating System (TinyOS) developed at the University of California at Berkeley has helped, but it's only the beginning.
Now, sensor network designers are starting to build on the TinyOS concept. Crossbow Technology's MoteWorks software/hardware wireless mesh development platform uses TinyOS. It supports rapid, flexible, and open designs based on the IEEE 802.15.4/ZigBee standard.
At WINLAB, the open-access research testbed (ORBIT) system facilitates a broad range of experimental research on next-generation protocols and application concepts for wireless networks. A 64-node radio-grid emulator was already released. A full 400-node radio grid is being tested indoors; an outdoor system will be operational shortly. The project involves Rutgers University, Princeton University, Columbia University, Thomson SA, IBM, and Lucent Technologies.
WINLAB also fabricated and tested a novel wireless sensor network known as
SOHAN (self-organizing hierarchical adhoc network). The laboratory says that
this network, which has been prototyped, offers significant capacity improvements
over conventional ad-hoc wireless sensor networks.
LOOKING FORWARD
Wireless sensor techniques eventually will mature to permit the seamless interconnection
of the physical and virtual worlds. Wireless network technologies like WiMedia
Ultra-Wideband (UWB) will enable users to do things like download an entire
television show in just one minute. Demonstrations of such capabilities already
have proven feasible, so it's only a matter of time before there's wide-scale
market acceptance.
With Qualcomm's MediaFLO service, users can receive TV broadcasts on cell phones with a TV decoder. The decoder can also decode video from other sources, such as digital video recorders. Users will be able to download programs from other sources onto their phones and watch them when they're on the go.
The rapid proliferation of low-cost, low-power, radio-frequency identification
(RFID) tags in industrial, medical, and agricultural applications only adds
to the seamless pervasiveness of connectivity. All-plastic—instead of
silicon—RFID tags have aided RFID advances. Many such tags will debut
this year.
Even still, there's a need for new software development and deployment approaches.
The industry also must develop the right networking protocols, the organization
of network-based services, and techniques for self-organization, self-configuration,
and self-maintaining large distributed systems.
Privacy and security issues must be resolved as well. "If a wireless network's architecture is not planned for privacy and security from the beginning, it will never succeed," warns Rutgers University's Raychaudhuri.
New business models are needed, too, so that there's interoperability between devices and services. This will ensure the flexibility consumers demand. Ultimately, though, technology must be shaped to address a wide range of user needs.
The impact of ubiquitous sensors may create some surprises in the long term. Some technology forecasters predict a greater emphasis on analog computing and networking to faithfully interact with the real world of analog sensors. After all, the realworld variables detected by sensors are all analog in nature.
"A modest indicator of this trend is visible today in the audiophile world," says Paul Saffo, director of the Institute for the Future (IFTF). "The most sophisticated audiophile stereo systems available today still rely on old-fashioned vacuum-tube technology. Audiophiles can tell the difference between sound that has been deconstructed into bits and reconstructed as an analog waveform and sound that has remained in analog form all along."
Ubiquitous sensing will rely on computing and communications. In turn, these
technologies will depend on the wide-scale deployment of actuators that enable
total closed-loop system control. MEMS technology can fulfill this need.
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NEED MORE INFORMATION?
BitWave Semiconductor Inc. www.bitwave.sg.com
Columbia University www.columbia.edu
Crossbow Technology. www.xbow.com
Dust Networks Inc. www.dustnetworks.com
IBM Corp. www.ibm.com
Innos Ltd. www.innos.co.uk
The Institute for the Future www.iftf.org
Jennic Ltd. www.jennic.co.uk
Lucent Technologies www.lucent.com
LETI-CEA www-leti.cea.fr
MIMOSA www.mimosa-fp6.com
Motorola Inc. www.motorola.com
Nokia Inc. www.nokia.com
Perpetuum Ltd. www.perpetuum.co.uk
Princeton University www.princeton.edu
Qualcomm Inc. www.qualcomm.com
Rutgers University’s WINLAB www.winlab.rutgers.edu
STMicroelectronics Inc. www.stmicro.com
Thomson SA www.thomson.net
The University of Florida www.ufl.edu
The University of Illinois, National Center for Supercomputing Applications www.ncsa.uiuc.edu
The University of Texas at Arlington http://mse.uta.edu/
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