Wireless and autonomous safety-critical system utilizing feedback

Nowadays, safety-critical systems are becoming more prominent with the increase in reliance on technology in households. With this dependency, reliability and reaction time needs to be improved on to maintain a high standard of service. However, current designs are stagnant and only implementing rote and obsolete open-loop designs as a means of easy manufacturing and for simplicity in design but does not fully provide safety to its users since open-loop designs rely on the user's interaction to initiate the safety process or mitigation. This is too variable and unreliable and delays the process which the user will incur more damages in the end degrading the effectiveness of a safety-critical system. This study aims to addresses these issues by designing a system that implements a closed-loop feedback using values collected from sensors to survey the condition of the surroundings and respond accordingly with different fog computing methodologies and utilizing a feedback loop. This alternative closed-loop implementation will be 40% more reliable than the open-loop version, 71% reduced latency, and have a faster overall response time compared to commercial systems based on the experimental results. All designs, workflows, and ideas discussed in this paper will be implemented all in an Arduino Environment.