The latest trend in nanobiosensor system architectures

Keat, Lim Chun; Jambek, Asral Bahari; Hashim, U.

doi:10.1109/iced.2016.7804655

Cited by 1 publication

(1 citation statement)

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“…Since 2004, this technology has been developing rapidly [14]. Biosensors are devices with nanometric structures that measure changes in various biological parameters and convert them into measurable signals [15]. Nano-sensors have shown a great deal of potential in many areas and, most importantly, in precise and early diagnosis of diseases, and this has attracted researchers and even artisans to this field.…”

Section: Introductionmentioning

confidence: 99%

Improving the reliability in bio-nanosensor modules using hardware redundancy techniques

Ghasemzadeh

Farazkish

Amiri

et al. 2023

IJECE

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A nano-robot is a controlled robotic system at the nanoscale. Nowadays, nanorobotics has become of particular interest in medicine and pharmacy. The accurate diagnosis of the diseases as well as their rapid treatment will make everyone surprised and will significantly reduce the associated risks. The modeling of reliability in biosensors is studied for the first time in this paper. The use of practical hardware redundancy has turned into the most cost-effective to improve the reliability of a system. Additionally, the Markov model is used to design fault-tolerant systems in nanotechnology. The proposed method is compared with some existing methods, such as triple modular redundancy and non-fault-tolerant systems; it is shown that using this method, a larger number of faults between 3-5 can be tolerated. Using the proposed method, the number of modules can be increased to nine. However, a larger number than 9 MR is not recommended because of an increased delay and requiring more hardware. As the scale of components used in digital systems has gotten smaller, the use of hardware redundancy has become cost-effective. But there is a trade-off between the amount of used hardware and fault tolerance, which can also be investigated.

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Section: Introductionmentioning

confidence: 99%