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  4. ISFD : Efficient and Fault-tolerant In-System-Failure-Detection for LP FPGA-based Smart-Sensors in Space Expeditions
 
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ISFD : Efficient and Fault-tolerant In-System-Failure-Detection for LP FPGA-based Smart-Sensors in Space Expeditions

Publikationstyp
Conference Paper
Date Issued
2024-04
Sprache
English
Author(s)
Rahman, Kazi Mohammad Abidur 
Smart Sensors E-EXK3  
Dirkes, Timo  
Delfs, Bjoern
Wyrwoll, Vanessa
Kulau, Ulf  
Smart Sensors E-EXK3  
TORE-URI
https://hdl.handle.net/11420/48978
Start Page
74
End Page
83
Citation
20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) 2024
Contribution to Conference
20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) 2024  
Publisher DOI
10.1109/DCOSS-IoT61029.2024.00021
Scopus ID
2-s2.0-85202343080
Publisher
IEEE
ISBN
979-8-3503-6944-1
979-8-3503-6945-8
The health of astronauts is a top priority in manned space missions, and space conditions can have a major impact on the physiology of the human body. This is why extensive health monitoring is essential, especially for future missions beyond low Earth orbit (LEO), where astronauts will be increasingly exposed to higher radiation doses. To address these challenges, the AuRelia project has developed space-capable smart sensors that are designed to be failure-tolerant and autonomous. These sensors employ an innovative In-System-Failure-Detection (ISFD) technique that caters to the increasing need for Single Event Effect (SEE)-induced failure tolerance in resource-constrained and ultra-low power SRAM-based FPGAs used in miniaturized smart sensors. The ISFD technique integrates a hardware-based radiation-tolerant Test Core (using only 77 LUTs) with a software-based Test Controller, resulting in a lightweight yet efficient solution for failure detection. What's more, the adaptability of ISFD facilitates seamless integration into existing firmware and software, offering developers a swift implementation process. ISFD complements traditional blind scrubbing methods, enhancing sensor data reliability, and has been validated with radiation up to 70Krad.
Subjects
Fault Detection
ISFD
LP FPGA
Radiation Test
Smart Sensor
Space Electronics
DDC Class
621.3: Electrical Engineering, Electronic Engineering
530: Physics
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