Swarm Intelligent Routing

 

Swarm in HART

 

Autonomous Agents

  Mobile Communication
  Genetic Algorithms
  Swarm Intelligence
  Neural Networks
  Machine 2 Machine
  Grid Computing
  Vertex Cover Algorithm
  Swarm Location Service (SLS)
 
Killer Applications
Bluetronix, Inc.
PO Box 23054
Chagrin Falls, OH 44023
440.247.3434
innovation@bluetronix.net

Technologies

Swarm Intelligent Routing
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.

Build compatibility between Swarm and HART
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.

Autonomous Agents
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.

Mobile Communications
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
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.

Swarm Intelligence
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
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.

Machine 2 Machine (M2M)
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
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.

Back to Top

Vertex Cover Algorithm: NP-Complete Problem
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.

Back to Top

Swarm Location Service (SLS)
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.

Back to Top

White papers on our products and technologies are available upon request. E-mail us at innovation@bluetronix.net or call 440.247.3434.

   
     
     
Copyright 2015 Bluetronix, Inc. | All Rights Reserved