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Pregled bibliografske jedinice broj: 353270

Early Forest Fire Detection with Sensor Networks: Sliding Window Skylines Approach

Pripužić, Krešimir; Belani, Hrvoje; Vuković, Marin
Early Forest Fire Detection with Sensor Networks: Sliding Window Skylines Approach // Lecture Notes in Computer Science. Series Lecture Notes in Artificial Intelligence, 5177 (2008), 725-732 doi:10.1007/978-3-540-85563-7 (međunarodna recenzija, članak, znanstveni)

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Naslov
Early Forest Fire Detection with Sensor Networks: Sliding Window Skylines Approach

Autori
Pripužić, Krešimir ; Belani, Hrvoje ; Vuković, Marin

Izvornik
Lecture Notes in Computer Science. Series Lecture Notes in Artificial Intelligence (0302-9743) 5177 (2008); 725-732

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Data suppression; forest fire detection; sensor network; sliding

Sažetak
Wireless sensor networks are widely used in environmental applications, like forest fire detection. Although forest fires occur relatively rarely, their number is increasing in Europe in the last years, so their manifestation must be early detected in order to prevent higher damages. To minimize needless communication between the sensor nodes for this usage, new data suppression technique using sliding window skylines is described in this paper. We experimentally evaluate our algorithm for continuous sliding windows skylines computation, and show its usability in practice.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti

Napomena
Knowledge-Based Intelligent Information and Engineering Systems : 12th International Conference (KES 2008) : Proceedings, Part I ; 03.-05.09.2008., Zagreb, Hrvatska.



POVEZANOST RADA

Projekti:
036-0362027-1639 - Isporuka sadržaja i pokretljivost korisnika i usluga u mrežama nove generacije (Matijašević, Maja, MZO ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Marin Vuković (autor)

Avatar Url Krešimir Pripužić (autor)

Avatar Url Hrvoje Belani (autor)

Poveznice na cjeloviti tekst rada:

doi www.springerlink.com

Citiraj ovu publikaciju:

Pripužić, Krešimir; Belani, Hrvoje; Vuković, Marin
Early Forest Fire Detection with Sensor Networks: Sliding Window Skylines Approach // Lecture Notes in Computer Science. Series Lecture Notes in Artificial Intelligence, 5177 (2008), 725-732 doi:10.1007/978-3-540-85563-7 (međunarodna recenzija, članak, znanstveni)
Pripužić, K., Belani, H. & Vuković, M. (2008) Early Forest Fire Detection with Sensor Networks: Sliding Window Skylines Approach. Lecture Notes in Computer Science. Series Lecture Notes in Artificial Intelligence, 5177, 725-732 doi:10.1007/978-3-540-85563-7.
@article{article, author = {Pripu\v{z}i\'{c}, Kre\v{s}imir and Belani, Hrvoje and Vukovi\'{c}, Marin}, year = {2008}, pages = {725-732}, DOI = {10.1007/978-3-540-85563-7}, keywords = {Data suppression, forest fire detection, sensor network, sliding}, journal = {Lecture Notes in Computer Science. Series Lecture Notes in Artificial Intelligence}, doi = {10.1007/978-3-540-85563-7}, volume = {5177}, issn = {0302-9743}, title = {Early Forest Fire Detection with Sensor Networks: Sliding Window Skylines Approach}, keyword = {Data suppression, forest fire detection, sensor network, sliding} }
@article{article, author = {Pripu\v{z}i\'{c}, Kre\v{s}imir and Belani, Hrvoje and Vukovi\'{c}, Marin}, year = {2008}, pages = {725-732}, DOI = {10.1007/978-3-540-85563-7}, keywords = {Data suppression, forest fire detection, sensor network, sliding}, journal = {Lecture Notes in Computer Science. Series Lecture Notes in Artificial Intelligence}, doi = {10.1007/978-3-540-85563-7}, volume = {5177}, issn = {0302-9743}, title = {Early Forest Fire Detection with Sensor Networks: Sliding Window Skylines Approach}, keyword = {Data suppression, forest fire detection, sensor network, sliding} }

Časopis indeksira:


  • Scopus

Uključenost u ostale bibliografske baze podataka::


  • INSPEC
  • SpringerLink
  • DBLP
  • SCOPUS
  • Zentralblatt Math

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