Thesis: Smart Energy Harvesting strategies for Wireless Sensor Networks
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Post-web2

 

Author: Elena Real López

Advisor: Alvaro Araujo Pinto

In recent years we have attended to the development of Wireless Sensor Networks (WSN) and their inclusion in many areas of our daily life. Since nodes are wireless to ensure the ubiquity of the network and in many cases they are also mobile, it is essential to power them with batteries. Moreover, these batteries must be small to fit the size of the device. What’s more, it is customary that the location of the node is inaccessible, so changing batteries is considerably complicated.

This, coupled with the requirements specified above, makes it almost essential to use energy harvesting techniques for ensuring the device power.

The goal of this thesis is the study and the development of various smart energy harvesting techniques to improve the energy supply of wireless devices. In addition, this smart energy harvesting should adapt to the specific needs of the network and to the environment in which it is placed, with the aim to achieve an optimal behavior and a higher benefit.

PFC: Implementation of an architecture for the development of cognitive features in smartphones
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android cognitive radio

The objective of this project is the development of a cognitive module in smartphones. This module will implement cognitive features that becomes this terminals in nodes of a Cognitive Wireles Sensor Network. The smartphones are one of the best terminals in order to implement cognitive tasks such as spectrum sensing, collaboration and learning.

Related Technologies

  • Cognitive Radio
  • Wireless Sensor Networks
  • Linux
  • Java (Android)

Task

  • State of the art study in Android terminals
  • Control over wireless interfaces
  • Cognitive architecture definition
  • Implementation of the modules and functionality
  • Tests and results

Requirements

  • Dedication: 4 hours/day.

Tutor

Javier Blesa <jblesa@die.upm.es>

Estate

In progress

Thesis: Cognitive based strategies for security in Wireless Sensor Networks
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cognitive radio security

 

Author: Javier Blesa Martínez

Advisor: Alvaro Araujo Pinto

Synopsis: ONE of the fastest growing sectors in recent years has undoubtedly been that of WSNs. WSNs are increasingly being introduced into our daily lives. Potential fields of applications can be found, ranging from the military to home control commercially or industrially, to name a few. The increasing demand for wireless communication presents a challenge to make efficient use of the spectrum. To address this challenge, Cognitive Radio (CR) has emerged as the key technology. The nature of large, dynamic, adaptive, Cognitive Wireless Sensor Networks presents significant challenges in designing security schemes. A cognitive wireless sensor network is a special network that has many constraints and many different features compared to traditional WSNs. While security challenges have been widely tackled in traditional networks, it is a novel area in Cognitive Wireless Sensor Networks. The goal of this thesis is to improve the security in CWSN taking advantage of the new cogntive feature such as spectrum sensing, learning and collaboration.

Related publications:

LINEO: Sistema de Localización de personal basado en tenologías interactivas para su aplicación en entornos de obra
Posted on by b105
logologoMINECOlogoFEDER

lineo

  • Title: Sistema de Localización de personal basado en tenologías interactivas para su aplicación en entornos de obra
  • Funding Organisation: Ministerio de Ciencia e Innovación
  • Participants: Dragados S.A., SICE, Universidad de Valencia, Universidad Politécnica de Madrid
  • Description: Reduce workplace accidents in construction, unfortunately too common, due to collisions or violations produced by large machinery that interacts in many moments with workers on foot moving nearby. LINEO location system must provide real-time measurements (time sub-second update), high accuracy (less than 1 meter) and with great robustness and reliability in aggressive external environment and unstructured.

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