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Bluetronix has developed innovative new
algorithms for MANET routing and location service, based on swarm intelligence. These biologically-inspired algorithms introduce a new
paradigm for wireless communications in military, industrial, and commercial areas.
Clockless processors, unlike their traditional synchronous counterparts, do not rely on a specific frequency
clock signal in order to operate. Because of this, they consume much less energy than traditional
processors, and their presence is more difficult to detect.
Agents
are programs or entities that operate with little or no human supervision.
They initiate actions, construct plans, migrate to different locations,
and communicate with other agents. Most importantly they can independently
respond to events and adjust behavior accordingly to accomplish
goals. Well designed agents will have personality (and like a good
waiter will intrude only when necessary) and remember training and
tasks even if the user's computer crashes or is turned off.
The
military has identified the development of secure, high-speed ad-hoc
wireless networks as a top priority, and several research institutions
are presently in the process of developing the supporting technologies
needed to realize this goal. Accomplishing the work proposed here
would significantly advance the efficiency, robustness, and flexibility
of ad-hoc wireless communications for use in every branch of the
Military. Due to enhanced communication capabilities U.S. forces
would possess an enormous tactical advantage over other enemy forces
in virtually every arena.
Genetic
algorithms are simulations of evolution at the cellular level. Their
basis is the interplay between genetics and evolution that Charles
Darwin uncovered in his theory of natural selection. In the biological
world, genes convey an organism’s hereditary information and are
carried by chromosomes in the form of genetic codes—DNA. These genetic
codes determine the characteristics of an organism, for example,
the color of its eyes. In his theory of natural selection, Darwin
concluded that an organism’s survivability is dependent on the characteristics
it inherits from its parents and, further, that organisms “most
fit” to survive in an environment will be chosen to breed and pass
on their genes. As Sherry Turkle explains in her book Life on the
Screen, Darwin’s revelations and the subsequent work of molecular
biologists “clearly [communicate] that what stands behind life is
not a metaphysical entity but DNA, whose code begins to be seen
as life itself.” Moreover, this biological code defines the “language
to frame the discipline of artificial life, one which equates life
with the algorithms of living systems” (Turkle). Genetic algorithms,
are merely manipulations of this language, written to simulate competitive
genetic interactions, such as natural selection and mutation.
Genetic
algorithms are already existing and performing today, such as improving
engine designs, creating financial models, optimizing material handling
and even establishing stock-trading rules. The big story is that
sex in software may be an abstract principle based upon biological
behavior -- evolution and in this case something like sex -- can
actually be written into a digital code, and then be applied to
the most difficult business problems. Bluetronix is working on the
translation of a biological functions into computer processes so
that the theory of evolution can be applied to business problems
and show real operational improvements.
Bluetronix'
solution is to exploit concepts from new forms of artificial intelligence,
referred to as Swarm Intelligence. The swarm intelligence concept
evolved from the study of ants, termites, and other social insects.
Though these are relatively simple life forms with very limited
resources and abilities, complex tasks can be completed solely through
cooperation and indirect communication. For example, ants can build
elaborate colonies, forage for food, and wage war. Therefore, the
collective actions of simple agents as a working group can accomplish
very complex tasks.
Neural
networks are data analysis methods and algorithms loosely based
on nervous systems of humans and animals.
In
general terms, an artificial neural network consists of a large
number of simple processing units linked by weighted connections.
By analogy, the processing units may be called neurons. Each unit
receives inputs from many other units and generates a single output.
It's now possible for your refrigerator to talk to your stove and
your alarm system to your car, and you could control and run initial
machines, systems all on one network? This is a new networking trend
known as machine-to-machine, or M2M. Bluetronix envisions so and
is developing products in this area.
Even though machine networking is still in an
early phase, its impact can be impressive. With widespread availability
of cheap computer chips combined with easily accessible wireless
phone networks mean that no machine, no matter how lowly, need ever
be lonely again. The advent of machine networking, also sometimes
called "grid computing", eventually will change nearly every
line of business.
A survey by San Francisco-based The FocalPoint
Group found that more than two dozen M2M firms reported having 23
million devices linked by wireless networks. Those firms predict
business will grow by 40 per cent over the next year and a half.
Market research by the Forrester Group led to a prediction that
by 2005 there may be as many machines communicating on wireless
networks as people.
The consulting firm McKinsey & Co predicts that
M2M communication will be a $US100 billion a year business by 2010.
The move is intended to be a disruptive technology
that will remake many existing business models, he said.
Grid Computing is a term that signifies
several new elements of computing. One element involves grid computation
– computers and sensors "everywhere" in devices, appliances, equipment,
in homes, workplaces and factories, and in clothing. Devices and
sensors may be mobile, such as wireless PDAs or smart phones, or
may be embedded in the environment, such as sensors and computer
chips in walls or furniture. Another element involves grid communication
– a high degree of communication among devices and sensors through
a ubiquitous and secure network infrastructure with a wired core
and wireless adjuncts that communicate with the core. Because computation
will become so integrated into our lives and activities, natural
forms of human-computer interaction, such as spoken dialogue with
computers will become more practical.
Ultrawide
band Technology transmits digital data over a wide spectrum of frequency
bands with very low power. It can transmit data at very high rates
(key for wireless local area network applications). Within the power
limit allowed under current FCC regulations, Ultra Wideband can
not only carry huge amounts of data over a short distance at very
low power, but also has the ability to carry signals through doors
and other obstacles that tend to reflect signals at more limited
bandwidths and a higher power. At higher power levels, UWB signals
can travel to significantly greater ranges.
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White
papers on our products and technologies are available upon request.
E-mail us at innovation@bluetronix.net
or
call 440.247.3434.
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