Wireless sensors networks enable the chance to
investigate with enhanced freedom physical phenome... more Wireless sensors networks enable the chance to investigate with enhanced freedom physical phenomena, aiming to increase the informative content obtained by sensors measurements. In this work we will focus on a system allowing to experimentally measure pressure profiles obtained from sensor nodes deployed on a NACA0012 aircraft wing model. By exploiting measurements gathered from sensors, allowing to measure pressure fluctuations of ±600Pa with a resolution of 4Pa, together with results obtained by Computational Fluid Dynamics (CFD) models, the system enables extracting flow profile, thus obtaining information on flow separation and stall phenomenon. Wireless measures are delivered with an enhanced version of IEEE802.15.4e, allowing to decrease power consumption by a factor of 7. Packet routing, based on Routing Protocol for Low- Power and Lossy Networks (RPL), has been improved by means of a newly introduced Lifetime and Latency Aggregatable Metric (L2AM) leading to a 18% increased network lifetime.
Wireless sensors networks enable the chance to
investigate with enhanced freedom physical phenome... more Wireless sensors networks enable the chance to investigate with enhanced freedom physical phenomena, aiming to increase the informative content obtained by sensors measurements. In this work we will focus on a system allowing to experimentally measure pressure profiles obtained from sensor nodes deployed on a NACA0012 aircraft wing model. By exploiting measurements gathered from sensors, allowing to measure pressure fluctuations of ±600Pa with a resolution of 4Pa, together with results obtained by Computational Fluid Dynamics (CFD) models, the system enables extracting flow profile, thus obtaining information on flow separation and stall phenomenon. Wireless measures are delivered with an enhanced version of IEEE802.15.4e, allowing to decrease power consumption by a factor of 7. Packet routing, based on Routing Protocol for Low- Power and Lossy Networks (RPL), has been improved by means of a newly introduced Lifetime and Latency Aggregatable Metric (L2AM) leading to a 18% increased network lifetime.
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investigate with enhanced freedom physical phenomena, aiming
to increase the informative content obtained by sensors measurements.
In this work we will focus on a system allowing to
experimentally measure pressure profiles obtained from sensor
nodes deployed on a NACA0012 aircraft wing model. By exploiting
measurements gathered from sensors, allowing to measure
pressure fluctuations of ±600Pa with a resolution of 4Pa,
together with results obtained by Computational Fluid Dynamics
(CFD) models, the system enables extracting flow profile, thus
obtaining information on flow separation and stall phenomenon.
Wireless measures are delivered with an enhanced version of
IEEE802.15.4e, allowing to decrease power consumption by a
factor of 7. Packet routing, based on Routing Protocol for Low-
Power and Lossy Networks (RPL), has been improved by means
of a newly introduced Lifetime and Latency Aggregatable Metric
(L2AM) leading to a 18% increased network lifetime.
investigate with enhanced freedom physical phenomena, aiming
to increase the informative content obtained by sensors measurements.
In this work we will focus on a system allowing to
experimentally measure pressure profiles obtained from sensor
nodes deployed on a NACA0012 aircraft wing model. By exploiting
measurements gathered from sensors, allowing to measure
pressure fluctuations of ±600Pa with a resolution of 4Pa,
together with results obtained by Computational Fluid Dynamics
(CFD) models, the system enables extracting flow profile, thus
obtaining information on flow separation and stall phenomenon.
Wireless measures are delivered with an enhanced version of
IEEE802.15.4e, allowing to decrease power consumption by a
factor of 7. Packet routing, based on Routing Protocol for Low-
Power and Lossy Networks (RPL), has been improved by means
of a newly introduced Lifetime and Latency Aggregatable Metric
(L2AM) leading to a 18% increased network lifetime.