FPGA-based wideband channel emulator for evaluation of Wireless Sensor Networks in industrial environments

Val, Iñaki; Casado, Félix; Rodríguez, Pedro Manuel Gómez; Arriola, Aitor

doi:10.1109/etfa.2014.7005361

Cited by 18 publications

(7 citation statements)

References 10 publications

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“…The algorithm that is used for antenna diversity mechanism is evaluated using a wireless channel emulator [26], which was configured in Single Input Multiple Output (SIMO) mode for antenna diversity evaluation. Figure 3(a), shows the Packet Error Rate (PER) performance of the antenna diversity algorithm compared to a receiver which does not use this mechanism.…”

Section: Wireless Sensor Networkmentioning

confidence: 99%

Wireless sensor nodes for generic signal conditioning: Application to Structural Health Monitoring of wind turbines

Herrasti

Val

Gabilondo

et al. 2016

Sensors and Actuators A: Physical

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Section: Wireless Sensor Networkmentioning

confidence: 99%

Wireless sensor nodes for generic signal conditioning: Application to Structural Health Monitoring of wind turbines

Herrasti

Val

Gabilondo

et al. 2016

Sensors and Actuators A: Physical

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“…Both antennas are placed with a separation of a quarter wavelength, under the assumption that the channels seen by them will be de-correlated. In order to evaluate the algorithm, a wireless channel emulator [32] has been used, which was configured in Single Input Multiple Output (SIMO) mode for antenna diversity evaluation. The emulated Rayleigh fading channel with Jakes Doppler power spectrum has a maximum Doppler frequency of 100 Hz.…”

Section: F Implementationmentioning

confidence: 99%

Time-synchronized Wireless Sensor Network for structural health monitoring applications in railway environments

Val

Arriola

Cruces

et al. 2015

2015 IEEE World Conference on Factory Communication Systems (WFCS)

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In this work a time-synchronized Wireless Sensor Network (WSN) has been designed and implemented for a realtime Structural Health Monitoring (SHM) system for trains. Channel measurements have been done in the first place on a real operational scenario, and obtained results have been used as inputs for the design of the physical layer of the WSN. A specific Time Division Multiple Access (TDMA) MAC layer and a synchronization algorithm have also been developed for allowing a deterministic data collection and synchronized sampling, which are critical aspects in SHM applications. Performance measurements of the WSN have also been done, which have shown maximum sampling synchronization jitter values within 1 μs for sensor nodes belonging the same base station, and maximum jitter values within 2 µs for nodes of different base stations.

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“…The authors in [11] propose an FPGA-based WSN emulator for the design, simulation, and evaluation of WSNs. Similarly, the authors in [12] present an FPGA-based wide-band wireless channel emulator able to generate white Gaussian noise and multipath and Doppler fading effects. Both works are complementary to ours as we focus on a detailed emulation of a network node while simplifying the wireless communication aspect.…”

Section: Related Workmentioning

confidence: 99%

“…for ∈ RP do (8) for ∈ Size( ) do (9) if Config( temp ( )) = Config( ( )) then (10) node [ ] ← InsertConfigInRP( ( ), ); (11) node [ ] ← MarkAsConfigured(); (12) ← RemoveConfigfromList( , ); (13) break; (14) end (15) end (16) end (17) if…”

Section: Schedulingmentioning

confidence: 99%

Exploiting Partial Reconfiguration through PCIe for a Microphone Array Network Emulator

Silva

Braeken

Domínguez

et al. 2018

International Journal of Reconfigurable Computing

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The current Microelectromechanical Systems (MEMS) technology enables the deployment of relatively low-cost wireless sensor networks composed of MEMS microphone arrays for accurate sound source localization. However, the evaluation and the selection of the most accurate and power-efficient network's topology are not trivial when considering dynamic MEMS microphone arrays. Although software simulators are usually considered, they consist of high-computational intensive tasks, which require hours to days to be completed. In this paper, we present an FPGA-based platform to emulate a network of microphone arrays. Our platform provides a controlled simulated acoustic environment, able to evaluate the impact of different network configurations such as the number of microphones per array, the network's topology, or the used detection method. Data fusion techniques, combining the data collected by each node, are used in this platform. The platform is designed to exploit the FPGA's partial reconfiguration feature to increase the flexibility of the network emulator as well as to increase performance thanks to the use of the PCI-express highbandwidth interface. On the one hand, the network emulator presents a higher flexibility by partially reconfiguring the nodes' architecture in runtime. On the other hand, a set of strategies and heuristics to properly use partial reconfiguration allows the acceleration of the emulation by exploiting the execution parallelism. Several experiments are presented to demonstrate some of the capabilities of our platform and the benefits of using partial reconfiguration.

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FPGA-based wideband channel emulator for evaluation of Wireless Sensor Networks in industrial environments

Cited by 18 publications

References 10 publications

Wireless sensor nodes for generic signal conditioning: Application to Structural Health Monitoring of wind turbines

Wireless sensor nodes for generic signal conditioning: Application to Structural Health Monitoring of wind turbines

Time-synchronized Wireless Sensor Network for structural health monitoring applications in railway environments

Exploiting Partial Reconfiguration through PCIe for a Microphone Array Network Emulator

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