68 research outputs found
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
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
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
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)
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
OLIMPO, An Ad-Hoc Wireless Sensor Network Simulator for Public Utilities Applications
This paper introduces OLIMPO, an useful
simulation tool for researchers who are developing wireless
sensor communication protocols. OLIMPO is a discreteevent
simulator design to be easily recon gured by the user,
providing a way to design, develop and test communication
protocols.
In particular, we have designed a self-organizing wireless
sensor network for low data rate. Our premise is that, due
to their inherent spread location over large areas, wireless
sensor networks are well-suited for SCADA applications,
which require relatively simple control and monitoring.
To show the facilities of our simulator, we have studied
our network protocol with OLIMPO, developing several
simulations. The purpose of these simulations is to demonstrate,
quantitatively, the capability of our network to
support this kind of applications
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
OLIMPO, an ad-hoc wireless sensor network simulator for optimal scada-applications
This paper introduces OLIMPO, an useful simulation tool
for researchers who are developing wireless sensor communication
protocols. OLIMPO is a discrete-event simulator
design to be easily recon gured by the user, providing a
way to design, develop and test communication protocols.
In particular, we have designed a self-organizing
wireless sensor network for low data rate. Our premise is
that, due to their inherent spread location over large areas,
wireless sensor networks are well-suited for SCADA applications,
which require relatively simple control and monitoring.
To show the facilities of our simulator, we have studied
our network protocol with OLIMPO, developing several
simulations. The purpose of these simulations is to
demonstrate, quantitatively, the capability of our network
to support this kind of applications
Indoor Localization of the Points of Interest using RO-SLAM
This paper describes an indoor localization system based on RO-SLAM technique, which has been led to
experimentation. The proposed system has been considered to have low power consumption. The nodes of the
network are based on the well-known architecture TelosB. A distance estimation study has been developed in
order to determine the relationship between radio power signal strength in a radio link and distance between
nodes. This relationship has a high variability and given its importance for successful tracking, much of this
work has been devoted to its study. This system could be applied as a usefull solution for localization in a
warehouse, where GPS-based system does not work. Based on the results obtained, this system is deemed as
feasible because the motes have been localized with an acceptable error (1.2 m) under real conditions
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