|
|
|
Nodes in a mobile ad hoc network must be small, inexpensive, and consume very little power. To this end, Bluetronix looks to design nodes around low-power, clockless microprocessors. Clockless processors, unlike their traditional synchronous counterparts, do not rely on a specific frequency clock signal in order to operate. Because of this, they typically require less power than traditional processors, they produce less electromagnetic interference, and their presence is more difficult to detect. Furthermore, a clockless processor can operate even when voltages fall below a certain level, whereas clocked processors may fail. Because of their elegance and simplicity, Bluetronix’s algorithms can run on small clockless microprocessors, resulting in a small and inexpensive node design capable of running for an extended period on a single coin-sized cell.
All
computers in existence today make use of binary code on the circuits
of a computer chip, forming the basis for all computer calculations,
from simple addition to the solution of the most complex differential
equations. Since the DNA molecule is also a code, but is instead
made up of a sequence of four bases that pair up in a predictable
manner, many scientists have thought about the possibility of creating
a molecular computer. Rather than relying on the position of electronic
switches on a microchip, these computers would rely on the much
faster reactions of DNA nucleotides binding with their complements,
a brute force method that holds enormous potential for creating
a new generation of computers that would be 100 billion times faster
than today's fastest PC. DNA computing has been heralded as the
"first example of true nanotechnology", and even the "start of a
new era," which forges an unprecedented link between computer science
and life science.
Bluetronix
is designing intelligent algorithms to simplify the control of groups
such as UAV's in various scenarios. This permits a single user to
rapidly change the 'behavior' of the swarm as a whole without adjusting
or fine-tuning the behaviors of each agent. As part of this work,
Bluetronix looks to develop unique self-optimizing auction systems
for agents to prioritize movement and targets among themselves.
This auctioning system can take account of a large variety of factors
including agent capability (e.g. speed, fuel, ability to prosecute
specific target sets, and communications capability) and environmental
effects (e.g. wind, terrain, target characteristics). This auction
process is specifically designed to obtain results very quickly
with minimal communication required between the individual unmanned
agents. Furthermore, the results of the auctioning process have
been mathematically proven to provide optimal solutions to a wide
variety of problems. This optimization technique can be applied
to groups of Bluetronix mobile wireless routers to efficiently self-optimize
links through the network and ensure that critical communications
move through the network as rapidly as possible with potentially
reduced processing and memory requirements.
Micro-Electro-Mechanical
Systems (MEMS) are the integration of mechanical elements, sensors,
actuators, and electronics on a common silicon substrate through
microfabrication technology. While the electronics are fabricated
using integrated circuit (IC) process sequences (e.g., CMOS, Bipolar,
or BICMOS processes), the micromechanical components are fabricated
using compatible "micromachining" processes that selectively etch
away parts of the silicon wafer or add new structural layers to
form the mechanical and electromechanical devices.
Back to Top
A
MANET is a collection of computers, or nodes, participating and
cooperating in a computer network. Information is communicated between
nodes via a wireless link. There is a limited communications range
for each node, and each node has only a few neighbors. Neighbors
are nodes that can communicate directly. Nodes are assumed to be
mobile; nodes can move relative to each other. This mobility allows
the topology of the network to change dynamically. The network topology
can be represented as a graph of the links that exist between pairs
of nodes. Two nodes connected by a link may exchange information
directly; otherwise, they must find a path using intermediate nodes
to forward the information from the source to the destination.
The
operation of micro-satellites working together in swarms demands
new strategies. Bluetronix is looking to develop control packages
and communications suites founded upon rule based commands for group
behavior algorithms enabling collaboration of swarms of micro-satellites,
tasking of individuals, and fuzzy system identification for adaptive
sensor fusion dictating rule based commands. In this architecture,
parallel-distributed genetic algorithms will be implemented to generate
rule bases for planning and scheduling the directives of individual
group members. Individual satellites, each equipped with their own
rule-based controller, will perform assigned sub-tasks based on
their own directives.
The
packets traveling through the various wireless connections formed
by the network's intelligent routing software is based on some prior
work that leverages research in the development of swarm intelligence.
This program also performs conceptual designs that could be easily
integrated on a wide variety of mobile platforms including satellites,
Earth Science sensor networks, ground stations, and small aircraft,
all connected in an ad-hoc fashion.
Back to Top
Broadly
speaking, the RFID market is segmented into low-end and high-end
tags. Low-end passive tags have approximately 32 bytes of local
storage and are powered by the RF field generated by the readers.
High-end tags can have full-blown microcontrollers and multiple
interfaces to the environment, with local batteries to power them.
Back
to Top
For
small aircraft applications NASA and the FAA envision the Small
Aircraft Transportation System (SATS) through a focused revolutionizing
general aviation approach in the US with the development of 'smart'
aircraft and runways. The development of 'smart' aircraft and runways
could use the Mobile Intelligent Router for enhanced communications
(both VOIP and Data) between aircraft and the ground without the
limitations inherent in existing aircraft communications systems
while increasing overall system reliability and flexibility through
TCP/IP connectivity with secure high-speed intercommunications in
a point-to-multipoint capacity.
A
smart sensor network consists of a number of sensors spread
across a geographical area. Each sensor has wireless communication
capability and sufficient intelligence for signal processing and
networking of the data. Some examples of smart sensor networks are
the following:
-
Military sensor networks to detect enemy movements, the presence
of hazardous material (such as poison gases or radiation, explosions,
etc.)
- Environmental
sensor networks (such as in plains or deserts or on mountains
or ocean surfaces) to detect and monitor environmental changes.
-
Wireless traffic sensor networks to monitor vehicle traffic on
a highway or in a congested part of a city.
-
Wireless surveillance sensor networks for providing security in
a shopping mall, parking garage, or other facility.
-
Wireless parking lot sensor networks to determine which spots
are occupied and which spots are free.
Besides
offering certain capabilities and enhancements in operational efficiency
in these conventional applications, smart sensor networks can assist
in the national effort to increase alertness to potential terrorist
threats.
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.
|