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

An improved method for the identification of galaxy systems: Measuring the gravitational redshift by Dark Matter Haloes

We introduce a new method for the identification of galaxy systems in redshift surveys based on the halo model. This method is a modified version of the K-means identification algorithm developed by Yang et al (2005). We have calibrated and tested our algorithms using mock catalogs generated using the Millennium simulations (Springel et al. 2005) and applied them to the NYU-DR7 galaxy catalog (based on the SDSS datasets). Using this local sample of groups and clusters of galaxies we have measured the effect of gravitational redshift produced by their host dark matter haloes. Our results shows radial velocity decrements consistent with general relativity predictions and previous measurements by Wojtak et al (2011) in clusters of galaxies.Comment: Accepted for Publication in MNRAS Letters, 2 figures. arXiv admin note: text overlap with arXiv:astro-ph/0405234, arXiv:astro-ph/0406593 by other author

El niño vampiro y el cazador

Si bien el vampiro es, tal vez, el más célebre en la galería de monstruos que cobrarán fama sobre todo a partir de la conocida serie de películas de la casa Universal Pictures, es indudable que su conocida efigie le ha llevado a un punto de sobreexposición que parece desembocar en una cada vez mayor carencia imaginativa. Pero ello no significa que se trate de una figura ya acabada e imposible de revitalizar, prueba de ello son el cuento breve «Bebe mi sangre» y la novela Soy leyenda de Richard Matheson, en las cuales el autor norteamericano ofrece una muy original visión de esta clase de monstruos a través de dos figuras centrales: el monstruo niño y el cazador. A partir del elemento común en ambos, la soledad, y de muchas cualidades distintivas, Matheson demuestra que el monstruo es, aún, la gran metáfora acerca del Otro.It is true that the vampire is, perhaps, the most famous monster among those who won a definitive place in contemporary fiction after the release of Universal Pictures monster films. But, it is also true that this popularity has carried an overexposure of the vampire character that has led to an increasing creative crisis in recent works of literature, film and other media. However, this doesn't necessarily mean that vampires (o monsters in general) have come to an end and cannot be revitalised. Proofs of this are «Drink my red blood» and the novel I Am Legend, both by Richard Matheson. In them the author offers an original vision of the vampire character by means of the protagonists: the vampire-child and the vampire hunter. Through the solitude of both characters and their particular features, Matheson shows that monsters are still a powerful metaphor about the Other

Preferencias y valoración de los navegantes europeos en Canarias (España)

El turismo náutico es un sector estratégico para el desarrollo turístico de España y para la sostenibilidad de sus destinos tradicionales, aun cuando existen pocos estudios en esta área. Para Canarias el sector es prioritario, con una reconocida apuesta pública por la especialización del Archipiélago y su reposicionamiento como destino náutico de excelencia a nivel europeo. El presente artículo, resultado de encuestar a 122 navegantes de nacionalidad europea en tránsito por Canarias entre 2013 y 2014, aborda el estudio de las preferencias y motivaciones de viaje de estos turistas náuticos, y profundiza en el análisis contrastado de sus percepciones y valoraciones del puerto y el destino náutico. Los resultados obtenidos permiten elaborar una serie de recomendaciones en torno a la oferta náutico-turística, y a las estrategias de gestión y de promoción del destino

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

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

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)