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This paper presents an experimental platform for studying the effects of hardware vulnerabilities in mobile robots.
Signal processing algorithms associated with transmission and reception are implemented on USRP devices, and the degrading effects of hardware components on the performance are investigated.
The chapter begins with discussions on the differences between steady-state and transient performance and the effects of hardware design and software control strategy on transient turbocharged engine performance.
We overestimate the effects of hardware (given everyone's predictions we should be on the moon, with levitating cars by now) and understate the effects of software, where our Teslas learn to drive, or where we are connected to every form or anything ever made.
Since response variability is largely in proportion to response time, the types of experiment that are most susceptible to the effects of hardware or software variability are those with the shorter response times.
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So, what is the effect of hardware becoming less hard?
The effect of hardware errors has been minimized by choosing the scale-W parameter as RTT estimator.
Above all, the system channel they analyzed was just a Rayleigh or Nakagami-m channel; there are scarcely any papers that analyzed the effect of hardware impairments on the shadowed-Rician channel.
When run on a single node, a detailed profile of the execution time of both the software and hardware programs can be determined, and the effects of reconfigurable hardware design techniques can be studied.
The obtained results show the effects of different hardware configurations on power and energy for a given application and that system level energy consumption analysis can help the design team to make informed architectural trade-offs during the design process.
After the effect of these hardware setups on the functional safety is analyzed, the effects on the hardware usage and overall response time will be tested on a sample train station.
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