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  • Recognition of network boundaries in wireless sensor network (WSN) applications is crucial from two reasons. First, a knowledge of boundary nodes can help to increase a security performance of sensor network. And second it can significantly contributes to the energy conservation of inner nodes that can be switched into the sleeping modes during no activity is presented on the network boundaries. Furthermore, the knowledge of boundary nodes is necessary condition for some localization algorithms applied into the WSN environment. We proposed two novel algorithms referred to as BRC and BRBC and compare their recognition efficiency with three know related algorithms. The results of simulations showed that all algorithms achieved high ratio of success detections, however it is shown that only the novel algorithms achieved the low ratio of the false detections.
  • Recognition of network boundaries in wireless sensor network (WSN) applications is crucial from two reasons. First, a knowledge of boundary nodes can help to increase a security performance of sensor network. And second it can significantly contributes to the energy conservation of inner nodes that can be switched into the sleeping modes during no activity is presented on the network boundaries. Furthermore, the knowledge of boundary nodes is necessary condition for some localization algorithms applied into the WSN environment. We proposed two novel algorithms referred to as BRC and BRBC and compare their recognition efficiency with three know related algorithms. The results of simulations showed that all algorithms achieved high ratio of success detections, however it is shown that only the novel algorithms achieved the low ratio of the false detections. (en)
Title
  • Optimization of Boundary Recognition Algorithms for Wireless Sensor Network Applications
  • Optimization of Boundary Recognition Algorithms for Wireless Sensor Network Applications (en)
skos:prefLabel
  • Optimization of Boundary Recognition Algorithms for Wireless Sensor Network Applications
  • Optimization of Boundary Recognition Algorithms for Wireless Sensor Network Applications (en)
skos:notation
  • RIV/00216305:26220/11:PU93581!RIV12-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(FR-TI2/571), S, Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 218738
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/11:PU93581
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • wireless sensor networks, boundary recognition, optimization, algorithm, false detections,network periphery, simulation, Matlab (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [D44C538145ED]
http://linked.open...v/mistoKonaniAkce
  • Budapest
http://linked.open...i/riv/mistoVydani
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • In Proceeding of TSP 2011
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Morávek, Patrik
  • Šimek, Milan
  • Bocek, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • Neuveden
https://schema.org/isbn
  • 978-1-4577-1409-2
http://localhost/t...ganizacniJednotka
  • 26220
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