Paper Info
Title
Quantifying Energy and Latency Improvements of FPGA-Based Sensors for Low-Cost Spectrum Monitoring
Abstract
There is a recent interest in large-scale RF spectrum monitoring using low-cost crowdsourced spectrum sensors. A major challenge here is improving the latency and energy usage of signal processing algorithms on the sensor. This improves operational cost and effectiveness and also makes the sensors more responsive to the monitoring task. We specifically consider the case of signal detection using such sensors. Typical crowdsourced implementation using a low-cost software radio connected to a Raspberry Pi or a smartphone as host is not energy-efficient and incurs significant latencies. We propose use of field-programmable gate array (FPGA) to improve both metrics for the signal detection task. Our benchmarking shows significant improvements with FPGA platforms relative to using a Raspberry Pi or smartphone, upto a factor of 73 in terms of latency and a factor of 29 in terms of energy usage.
Year
DOI
Venue
2018
10.1109/DySPAN.2018.8610459
2018 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)
Keywords
Field
DocType
field-programmable gate array,smartphone,signal processing algorithms,energy improvements,crowdsourced implementation,low-cost crowdsourced spectrum sensors,large-scale RF spectrum monitoring,low-cost spectrum monitoring,FPGA-based sensors,latency improvements,FPGA platforms,signal detection task,Raspberry Pi,low-cost software radio
Detection theory,Software-defined radio,Latency (engineering),Computer science,Field-programmable gate array,Radio frequency,Gate array,Operational costs,Computer hardware,Benchmarking
Conference
ISSN
ISBN
Citations 
2334-3125
978-1-5386-5192-6
0
PageRank 
References 
Authors
0.34
3
4
Name
Order
Citations
PageRank
Arani Bhattacharya1217.10
han chen2406.31
Peter Milder334628.41
Samir R. Das45341494.55