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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.
Bluetronix is building compatibility between Swarm and the HART which will accelerate and expedite these commercialization efforts for market entry.
HART (Highway Addressable Remote Transducer) is a communication Protocol that provides communication among filed instruments and Host Systems . HART is a global standard for smart process instrumentation and there are more than 20 million HART enabled devices.
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.
M2M communication is the data flow among people, devices, and systems. The data will be interpreted as information for remote control and monitoring. Three basic elements for M2M are:
- Embedded Processor for storing data
- Communication Technology for transfer of data
- Management Applications for monitoring and control
M2M stands for machine-to-machine, mobile-to-machine,
or man-to-machine communication. Generally stated, M2M is the connection
and communication among all aspects of the physical enterprise:
knowledge workers, business applications, and remotely dispersed
assets and equipment.
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.
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Vertex Cover is a NP-complete problem that can be stated as given G = (V,E) of order n, weather there exists a set C with k or fewer vertices such that every edge of G has at least one endpoint in C. As many practical problems are NP-complete, there is a need to tackle these problems. Vertex Cover is a NP-complete problem that can be stated as given G = (V,E) of order n, weather there exists a set C with k or fewer vertices such that every edge of G has at least one endpoint in C. No polynomial time algorithms for NP-complete problems have been developed; or in other words optimal solutions for these problems are intractable.
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Swarm intelligence techniques, called SLS has been developed to provide location service to all MANET (Mobile Ad Hoc Network) routing protocols. MANET is a network with mobile nodes without internet like infrastructure where every mobile node acts as a router. The location service is intended to solve the existing problems in MANET due to frequent movements of nodes.
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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. |
