168 research outputs found
Locating sensors with fuzzy logic algorithms
In a system formed by hundreds of sensors deployed
in a huge area it is important to know the position where every
sensor is.
This information can be obtained using several methods.
However, if the number of sensors is high and the deployment
is based on ad-hoc manner, some auto-locating techniques must
be implemented.
In this paper we describe a novel algorithm based on fuzzy
logic with the objective of estimating the location of sensors
according to the knowledge of the position of some reference
nodes.
This algorithm, called LIS (Localization based on Intelligent
Sensors) is executed distributively along a wireless sensor network
formed by hundreds of nodes, covering a huge area.
The evaluation of LIS is led by simulation tests. The result
obtained shows that LIS is a promising method that can easily
solve the problem of knowing where the sensors are located.Junta de Andalucía P07-TIC-0247
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
Smart Agriculture Based on Cyber-Physical Systems
The general objective of the project is to develop a cyber-physical system based on low-cost portable multispectral IoT nodes and Artificial Intelligence that allows the most relevant parameters that influence olive quality to be measured in a simple and economical way, with the benefit of assisting the farmer in making a decision about when to collect the olive from the olive tree and its processing for production in both table olives and olive oil
Industrial Fieldbus Improvements in Power Distribution and Conducted Noise Immunity With No Extra Costs
Industrial distributed control continues the move
toward networks at all levels. At lower levels, control networks
provide flexibility, reliability, and low cost, although perhaps the
simplest but most important advantage is the reduced volume
of wiring. Powered fieldbuses offer particular notable benefits in
system wiring simplification. Nevertheless, very few papers are
dealing with the potentials and limitations in power distribution
through the bus cable. Only a few of the existent fieldbus standards
consider this possibility but often simply as an option without
enough technical specifications. In fact, nobody talks about it, but
power distribution through the bus and conducted noise disturbances
are strongly related. This paper points out and analyzes
these limitations and proposes a new low-cost fieldbus physical
layer that enlarges power distribution capability of the bus and
improves system robustness. We show an industrial application
on water desalination plants and the very good results obtained
owing to the fieldbus. Finally, we present electromagnetic compatibility
test results that verify improvements against electrical fast
transients on the sensor/actuator connection side as disturbances
usually encountered in harsh-environment industrial applications
Animal movement dispersion with stochastic partial differential equations: Inference and simulations
In this paper, we propose a model for animal movement based on stochastic
partial differential equations (SPDEs). Indeed, we are interested in model
animal movement under the influence of external forces given for the
environment, therefore we consider a non-isotropic movement without the use of
a gradient or preferred movement. We use the Galerkin projection to transform
the Eulerian model into a Lagrangian one, which allows us to perform
simulations of individual animals. In addition, we study statistical properties
for two crucial parameters of the SPDE that describe the dynamical of the
system, and we propose a method to estimate them. This will allow us to fit the
model to a actual data. We illustrate our results with numerical experiments
Automatic Lesser Kestrel’s Gender Identification using Video Processing
Traditionally, animal surveillance is a common task for biologists. However, this task is often accompanied
by the inspection of huge amounts of video. In this sense, this paper proposes an automatic video processing
algorithm to identify the gender of a kestrel species. It is based on optical flow and texture analysis. This
algorithm makes it possible to identify the important information and therefore, minimizing the analysis time
for biologists. Finally, to validate this algorithm, it has been tested against a set of videos, getting good
classification results.Junta de Andalucía P10-TIC-570
mTOSSIM: A simulator that estimates battery lifetime in wireless sensor networks
Knowledge of the battery lifetime of the wireless sensor network is important for many situations,
such as in evaluation of the location of nodes or the estimation of the connectivity,
along time, between devices. However, experimental evaluation is a very time-consuming
task. It depends on many factors, such as the use of the radio transceiver or the distance
between nodes. Simulations reduce considerably this time. They allow the evaluation of
the network behavior before its deployment. This article presents a simulation tool which
helps developers to obtain information about battery state. This simulator extends the
well-known TOSSIM simulator. Therefore it is possible to evaluate TinyOS applications
using an accurate model of the battery consumption and its relation to the radio power
transmission. Although an specific indoor scenario is used in testing of simulation, the simulator
is not limited to this environment. It is possible to work in outdoor scenarios too.
Experimental results validate the proposed model.Junta de Andalucía P07-TIC-02476Junta de Andalucía TIC-570
A Wildfire Prediction Based on Fuzzy Inference System for Wireless Sensor Networks
The study of forest fires has been traditionally considered as an important
application due to the inherent danger that this entails. This phenomenon
takes place in hostile regions of difficult access and large areas. Introduction of
new technologies such as Wireless Sensor Networks (WSNs) has allowed us to
monitor such areas. In this paper, an intelligent system for fire prediction based
on wireless sensor networks is presented. This system obtains the probability of
fire and fire behavior in a particular area. This information allows firefighters to
obtain escape paths and determine strategies to fight the fire. A firefighter can
access this information with a portable device on every node of the network. The
system has been evaluated by simulation analysis and its implementation is being
done in a real environment.Junta de Andalucía P07-TIC-02476Junta de Andalucía TIC-570
Energy efficient wireless sensor network communications based on computational intelligent data fusion for environmental monitoring
The study presents a novel computational intelligence algorithm designed to optimise energy consumption in an
environmental monitoring process: specifically, water level measurements in flooded areas. This algorithm aims to obtain a tradeoff
between accuracy and power consumption. The implementation constitutes a data aggregation and fusion in itself. A harsh
environment can make the direct measurement of flood levels a difficult task. This study proposes a flood level estimation,
inferred through the measurement of other common environmental variables. The benefit of this algorithm is tested both with
simulations and real experiments conducted in Donñana, a national park in southern Spain where flood level measurements have
traditionally been done manually.Junta de Andalucía P07-TIC-0247
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