Real-Time Embedded Systems

Edited by
December 2018
188 pages
  • ISBN978-3-03897-509-0 (Paperback)
  • ISBN978-3-03897-510-6 (PDF)

This book is a reprint of the Special Issue Real-Time Embedded Systems that was published in

Computer Science & Mathematics
Physical Sciences
Real-time and networked embedded systems are important bidirectional bridges between the physical and the information worlds. Embedded intelligence is increasingly pervading industry, infrastructure, and public and private spaces, being identified as an emerging societal and economic “neural system” that supports both societal changes and economic growth. As cost/performance improves, objects connected in everyday life increasingly rely on embedded intelligence in an ever-growing array of application fields, specialized technologies, and engineering disciplines.


While this process gradually builds the IoT, it exposes a series of specific non-trivial timing and other extra-functional requirements and system properties that are less common in other computing areas. The ten articles in this book propose solutions to the specific open problems of cyber–physical and real-time embedded systems applicable to both traditional application domains, such as industrial automation and control, energy management, automotive, aerospace and defense systems, as well as emerging domains, such as medical devices, household appliances, mobile multimedia, gaming, and entertainment systems.
  • Paperback
© 2019 by the authors; CC BY-NC-ND licence
real-time; Digital Signal Processing (DSP); Embedded Systems; CORDIC (Coordinate Rotation Digital Computer); ASIC (Application Specific Integrated Circuit); FPGA (Field Programmable Gate Array); IP (Intellectual Property); automotive sensors; embedded system security; microarchitecture attacks; cache attacks; rowhammer attack; IoT Wireless Sensor Network platforms; data compression; hardware accelerator; Wireless Sensor Networks; embedded systems; complete solution; experimental evaluation; hardware design; ultra-low power; run-time monitoring; security monitor; absence of false alarms; ICS; CPS; FPGA; hardware/software co-simulation; pipelining; speech enhancement; multi-band spectral subtraction; signal-to-noise ratio; virtualization; hypervisor; TrustZone; microkernel; security; safety; real-time; Arm; prosumer problem; scheduling; residential appliances; demand response; renewable sources; home automation system; Discrete Fourier Transform; Fast Fourier Transform; Linear Transform; Pease Factorization; scalable address generation; Digital Signal Processing; hardware generation; real-time detection; wearable ECG device; energy consumption; ventricular fibrillation; VF detection algorithms; energy; scheduling; multiprocessor systems; satety/time-critical; time-triggered; MILP; heuristic; n/a