94 research outputs found
Automated Meter Reading and SCADA Application for Wireless Sensor Network
Currently, there are many technologies available to automate
public utilities services (water, gas and electricity). AMR, Automated
Meter Reading, and SCADA, Supervisory Control and Data Acquisition,
are the main functions that these technologies must support. In
this paper, we propose a low cost network with a similar architecture to
a static ad-hoc sensor network based on low power and unlicensed radio.
Topological parameters for this network are analyzed to obtain optimal
performances and to derive a pseudo-range criterion to create an
application-specific spanning tree for polling optimization purposes. In
application layer services, we analytically study different polling schemes
SIR: A New Wireless Sensor Network Routing Protocol Based on Artificial Intelligence
Currently, Wireless Sensor Networks (WSNs) are formed by
hundreds of low energy and low cost micro-electro-mechanical systems.
Routing and low power consumption have become important research issues
to interconnect this kind of networks. However, conventional Quality
of Service routing models, are not suitable for ad hoc sensor networks,
due to the dynamic nature of such systems. This paper introduces a new
QoS-driven routing algorithm, named SIR: Sensor Intelligence Routing.
We have designed an artificial neural network based on Kohonen self
organizing features map. Every node implements this artificial neural
network forming a distributed intelligence and ubiquitous computing
system
Giving neurons to sensors. QoS management in wireless sensors networks
Public utilities services (gas, water and electricity)
have been traditionally automated with several technologies. The
main functions that these technologies must support are AMR,
Automated Meter Reading, and SCADA, Supervisory Control
And Data Acquisition. Most meter manufacturers provide devices
with Bluetoothr or ZigBeeTM communication features. This characteristic
has allowed the inclusion of wireless sensor networks
(WSN) in these systems. Once WSNs have appeared in such
a scenario, real-time AMR and SCADA applications can be
developed with low cost. Data must be routed from every meter to
a base station. This paper describes the use of a novel QoS-driven
routing algorithm, named SIR: Sensor Intelligence Routing, over
a network of meters. An arti cial neural network is introduced
in every node to manage the routes that data have to follow. The
resulting system is named Intelligent Wireless Sensor Network
(IWSN)
IMPORTANCIA DE LA ALFABETIZACIÓN TECNOLÓGICA EN DOCENTES UNIVERSITARIOSDE CORONEL OVIEDO EN EL AÑO 2008
El objetivo dentro de la investigación es conocer la importancia de la utilización de medios tecnológicos aplicados por los docentes universitarios en el proceso de enseñanza-aprendizaje, utilizando un enfoque cuali-cuantitativo, no experimental, descriptivo, transeccional, basado en la metodología referencial de Roberto Hernández Sampieri. Los datos fueron tomados por muestreo a través de guías de entrevistas con preguntas abiertas y cerradas, buscando respuestas a interrogantes sobre el uso de medios audiovisuales y tecnologías actuales, como computador, proyector, internet, intranet, biblioteca virtual, foro virtual, chat, etc. Se recurrió a un total de 150 docentes y 840 alumnos, tomados como muestra de 500 docentes y 2.800 alumnos respectivamente. Con respecto a los resultados y conclusiones el 70 % de docentes de la muestra no utilizan computadoras, proyectores, internet para desarrollar sus clases; el 40 % está alfabetizado en el primer nivel y el 20 % en el segundo; otro 40 % emplea las nuevas tecnologías solamente para informarse, sin aplicarlo al aula. Por último un 8,33% apuesta a la formación continua, profesional y/o virtual siguiendo cursos de capacitación y actualización en el área investigada
Giving Neurons to Sensors: An Approach to QoS Management Through Artificial Intelligence in Wireless Networks
For the latest ten years, many authors have focused their investigations
in wireless sensor networks. Different researching issues have
been extensively developed: power consumption, MAC protocols, selforganizing
network algorithms, data-aggregation schemes, routing protocols,
QoS management, etc. Due to the constraints on data processing
and power consumption, the use of artificial intelligence has been historically
discarded. However, in some special scenarios the features of
neural networks are appropriate to develop complex tasks such as path
discovery. In this paper, we explore the performance of two very well
known routing paradigms, directed diffusion and Energy-Aware Routing,
and our routing algorithm, named SIR, which has the novelty of being
based on the introduction of neural networks in every sensor node. Extensive
simulations over our wireless sensor network simulator, OLIMPO,
have been carried out to study the efficiency of the introduction of neural
networks. A comparison of the results obtained with every routing protocol
is analyzed. This paper attempts to encourage the use of artificial
intelligence techniques in wireless sensor nodes
A new QoS routing algorithm based on self-organizing maps for wireless sensor networks
For the past ten years, many authors have focused
their investigations in wireless sensor networks. Different
researching issues have been extensively developed: power
consumption, MAC protocols, self-organizing network algorithms,
data-aggregation schemes, routing protocols, QoS
management, etc. Due to the constraints on data processing
and power consumption, the use of artificial intelligence
has been historically discarded. However, in some special
scenarios the features of neural networks are appropriate to
develop complex tasks such as path discovery. In this paper,
we explore and compare the performance of two very well
known routing paradigms, directed diffusion and Energy-
Aware Routing, with our routing algorithm, named SIR,
which has the novelty of being based on the introduction of
neural networks in every sensor node. Extensive simulations
over our wireless sensor network simulator, OLIMPO, have
been carried out to study the efficiency of the introduction
of neural networks. A comparison of the results obtained
with every routing protocol is analyzed. This paper attempts
to encourage the use of artificial intelligence techniques in
wireless sensor nodes
Using artificial intelligence in routing schemes for wireless networks
For the latest 10 years, many authors have focused their investigations in wireless sensor networks. Different researching issues have
been extensively developed: power consumption, MAC protocols, self-organizing network algorithms, data-aggregation schemes, routing
protocols, QoS management, etc. Due to the constraints on data processing and power consumption, the use of artificial intelligence has
been historically discarded. However, in some special scenarios the features of neural networks are appropriate to develop complex tasks
such as path discovery. In this paper, we explore the performance of two very well-known routing paradigms, directed diffusion and
Energy-Aware Routing, and our routing algorithm, named SIR, which has the novelty of being based on the introduction of neural networks
in every sensor node. Extensive simulations over our wireless sensor network simulator, OLIMPO, have been carried out to study
the efficiency of the introduction of neural networks. A comparison of the results obtained with every routing protocol is analyzed. This
paper attempts to encourage the use of artificial intelligence techniques in wireless sensor nodes
Using Artificial Intelligence in Wireless Sensor Routing Protocols
This paper represents a dissertation about how an artificial
intelligence technique can be applied to wireless sensor networks. Due
to the constraints on data processing and power consumption, the use
of artificial intelligence has been historically discarded in these kind of
networks. However, in some special scenarios the features of neural networks
are appropriate to develop complex tasks such as path discovery.
In this paper, we explore the performance of two very well known routing
paradigms, directed diffusion and Energy-Aware Routing, and our
routing algorithm, named SIR, which has the novelty of being based
on the introduction of neural networks in every sensor node. Extensive
simulations over our wireless sensor network simulator, OLIMPO, have
been carried out to study the efficiency of the introduction of neural networks.
A comparison of the results obtained with every routing protocol
is analyzed
LIS: Localization based on an intelligent distributed fuzzy system applied to a WSN
The localization of the sensor nodes is a fundamental problem in wireless sensor networks.
There are a lot of different kinds of solutions in the literature. Some of them use external
devices like GPS, while others use special hardware or implicit parameters in wireless
communications.
In applications like wildlife localization in a natural environment, where the power available
and the weight are big restrictions, the use of hungry energy devices like GPS or hardware
that add extra weight like mobile directional antenna is not a good solution.
Due to these reasons it would be better to use the localization’s implicit characteristics in
communications, such as connectivity, number of hops or RSSI. The measurement related
to these parameters are currently integrated in most radio devices. These measurement
techniques are based on the beacons’ transmissions between the devices.
In the current study, a novel tracking distributed method, called LIS, for localization of
the sensor nodes using moving devices in a network of static nodes, which have no additional
hardware requirements is proposed.
The position is obtained with the combination of two algorithms; one based on a local
node using a fuzzy system to obtain a partial solution and the other based on a centralized
method which merges all the partial solutions. The centralized algorithm is based on the
calculation of the centroid of the partial solutions.
Advantages of using fuzzy system versus the classical Centroid Localization (CL)
algorithm without fuzzy preprocessing are compared with an ad hoc simulator made for
testing localization algorithms.
With this simulator, it is demonstrated that the proposed method obtains less localization
errors and better accuracy than the centroid algorithm.Junta de Andalucía P07-TIC-0247
Poster Abstract: Practical issues in image acquisition and transmission over wireless sensor network
Multimedia data have become an important objective in
wireless sensor networks. Due to the node resource constraints
(energy consumption, memory capacity, network
latency and throughput) the incorporation of image sensor
at the nodes is currently a challenge.
In this paper, we study different node architectures,
evaluating processing time, energy consumption, image
quality and data delivery issues. The study shows that
a specialized image co-processor is an optimal solutionJUnta de Andalucía P07-TIC-0247
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