http://www.cnr.it/ontology/cnr/individuo/prodotto/ID20658
Experimental Characterization of Industrial Wireless Sensor Networks for Measurement Applications (Articolo in rivista)
- Type
- Label
- Experimental Characterization of Industrial Wireless Sensor Networks for Measurement Applications (Articolo in rivista) (literal)
- Anno
- 2008-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/TIM.2008.925344 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- M. Bertocco; G. Gamba; A. Sona; S. Vitturi (literal)
- Pagina inizio
- Pagina fine
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- http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4538256 (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
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- Scopus (literal)
- IEEE Xplore digital library (literal)
- Google Scholar (literal)
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- M. Bertocco, G. Gamba, A. Sona: Dipartimento di Ingegneria dell'Informazione, Università di Padova (literal)
- Titolo
- Experimental Characterization of Industrial Wireless Sensor Networks for Measurement Applications (literal)
- Abstract
- The effects of interference in the setup of wireless sensor networks (WSNs) represent a critical issue, and as such, it needs to be carefully addressed. To this aim, helpful information can be achieved through measurements to be carried out in advance on suitable prototypes and testbeds. In this paper, the measurement of industrial WSN performance is dealt with. In particular, a suitable testbed enlisting IEEE 802.15.4 wireless sensor nodes is presented along with the results of some experiments carried out even in the presence of interference. The purpose is to show how to evaluate some specific parameters of a WSN employed for industrial applications to obtain useful information
for its setup optimization in the presence of interference. The analysis will show that from the measurement of these parameters (number of failed pollings, polling round-trip time, experimental cycle time, and alarm latency), interference effects can effectively be recognized, and the network setup can be optimized. (literal)
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