Main Menu
About us
Project Description
Quantitative Results
Research Lines
Research Results
Impact on Society
Press room
Contact us
Secure Login
Events Calendar
« < April 2019 > »
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5

Activity 6: Efficient data acquisition and processing by using a wireless sensor network

Leader: Rafael Casado; Researchers: Aurelio Bermúdez, Eva María García

1. Brief Description of the Goals

Wireless sensor networks constitute an option that is increasingly valued as a server data source, especially since the standardization of low-consumption transmission protocols, such as IEEE 802.15.4 (ZigBee). As examples we could cite environmental information servers (weather forecasts, earthquake prevention, risk assessment, etc), urban traffic management servers, and billing servers, among others. However, this technology is not sufficiently mature at the moment to make full use of all of its potential.

In this task, we address what has been called sensor "collaborative intelligence". Each sensor would be able to process the data obtained by itself and its neighbors, with the aim of transmitting less information to the server or of extracting additional information based on its own location.

Most of the applications of sensor networks require nodes being aware of their position. Usually, this position is estimated by means of a distributed localization algorithm, which assumes that the position of some network nodes is known a priori. In many cases each node obtains the area where it resides by intersecting the coverage areas of the nodes that it hears. In order to optimize the collaborative data processing, we also address the development of location algorithms for dense WSN.

2. Scientific and Technical Developed Activities

We have implemented a simulator/demonstrator able to model the deployment of a dense WSN from the air over a forest area. Also, this simulator is able to spread a wildfire over the area, by using real environmental and vegetation data. The development of this tool involves a multidisciplinary study, in which we have to handle several different types of information (geographical data, vegetation models, fire models, etc.) and devices (sensors, aerial vehicles, and mobile devices). The goal is to evaluate how the proposed collaborative processing algorithms model the evolution of the fire fronts starting from the information obtained by the sensor nodes. Different versions of this tool have been presented in the EWSN 2007, MASSN 2008, and EWSN 2011 conferences.

We have developed a range-free location mechanism for WSN, based on hexagonal intersection that achieves an improvement of 12% in comparison with traditional proposals using rectangular intersection. It was published by Garcia et al. in the WSAN 2007, AWSAN 2010, CCSIT 2011 conferences; and in the International Journal of Information and Computer Science, vol 1, n 7, October 2012.

We have developed an efficient dissemination technique for broadcasting data in wireless sensor networks, presented in the UBICOMM 2011 conference. Also, we have proposed several models for representing physical phenomena, based on circles, convex hulls, and irregular polygons, respectively. These models are computed by the sensor network in a distributed way, starting from the physical information that they receive. They have been presented in the ISSNIP 2011, ISSNIP 2013, and WCNC 2013 conferences.

Finally, we have designed a mechanism based on a grid service for providing the processing server with the data gathered by the sensor network, published by Moreno et al. in Simulation: Transactions of the Society for Modeling and Simulation International, vol 88, January 2012.

In this activity, we have established collaborations with two academic centers: CISTER (Portugal) and AGH University of Science and Technology (Poland). Also we have established collaborations with the following Spanish enterprises: Logic Computers S.L. (by means of a contract), Piro Fire Extinction S. L., and Eurocopter España.

Publications: [Gar07a] [Gar07b] [Gar07c] [Ber07] [Gar08a] [Gar08b]

Projects funded by Public Calls: PREG-07-25PII2I09-0067-3628 by regional grants.

External collaborations Academia: Pawel KulakowskiLucjan Janowski, Nuno Pereira

External collaborations Industry: Pyro Fire Extinction S.L. (Spain)

Company Agreements: Logic Computers S.L. (Spain)

PhD dissertations: --

Patents: --