Convex Hull-based Approximation of Forest Fire Shape with Distributed Wireless Sensor Networks

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Publication: 
Convex Hull-based Approximation of Forest Fire Shape with Distributed Wireless Sensor Networks
Publishing date: 
December, 2011
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Paweł
Kułakowski
Ph.D.
adiunkt
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B9/312
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+48 12 6173967
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kulakowski@agh.edu.pl
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kt.agh.edu.pl/~brus
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Dr Paweł Kułakowski obronił doktorat na AGH w roku 2007. Pracował na uczelniach zagranicznych: Technical University of Cartagena, University of Girona, University of Castilla-La Mancha, University of Seville i University of Lisbon. Uczestniczył w licznych projektach badawczych, m.in. był w komitecie wykonawczym projektów COST IC1004 (również jako szef grupy badawczej indoor) i IRACON, obecnie jest też kierownikiem ds. badań i rozwoju w projekcie NCBiR dot. miejskich sieci 5G i edytorem wykonawczym w czasopiśmie ETT (Wiley). Jest współautorem około 50 prac naukowych (w tym 3 nagrodzonych) i trzech książek, a także laureatem stypendium MNiSW dla młodych wybitnych naukowców. Jego obecne zainteresowania naukowe dotyczą planowania i rozwoju sieci 5/6G, AI w zastosowaniach medycznych i nano-komunikacji.

Additional information: 

Pawel Kulakowski (www.kt.agh.edu.pl/~brus) received Ph.D. in telecommunications from the AGH University of Science and Technology, Poland, in 2007. He was a visiting professor or he held a postdoctorial position at Technical University of Cartagena, University of Girona, University of Castilla-La Mancha, University of Seville and University of Lisbon. He co-authored about 50 scientific papers, in journals, conferences and as technical reports. He was in the management committee of european COST research projects: IC1004 and IRACON, he is also an R&D manager of a national project on 5G urban networks and an executive editor in the ETT journal. He was recognized with several scientific distinctions, including 3 awards for his conference papers and a governmental scholarship for young outstanding researchers. His research interests include 5/6G networks, AI for medical applications and nano-communications.

Author/s: 
M. Ángeles Serna, Aurelio Bermudez, Rafael Casado, Pawel Kulakowski
Publication type: 
proceedings paper
Publisher: 
Proc. 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2011), Adelaide, Australia
pages(from-to): 
419-424
Summary: 
Monitoring of physical phenomena is one of the most promising application fields of wireless sensor networks. In this work we focus on obtaining the shape of a forest fire. In this kind of applications, the information sensed by network nodes is usually transmitted to a base station located at the border of the network, where it is finally processed. However, such an approach requires that a large amount of data is transmitted through the network. In this paper, we assume that network nodes are able to collaborate in order to obtain an approximation of the forest fire shape without any base station, in a completely distributed way. We propose and analyze two techniques for performing this approximation. The first one makes intensive use of resources, while the second model incorporates an aggregation technique, reducing significantly resource requirements.
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