Systems | Information | Learning | Optimization

Towards an autonomous network of biological sensors

Bio-sensors are becoming an integral part of our everyday life, implicitly and explicitly. The successful operation and availability of biological circuits and components for data processing makes bacteria strong candidates to use as computing machines. Currently bio-sensors, including bacterial sensors are processed independently off-line, leading to delays, manual errors and concerns on bio-compatibility.
We envision an autonomous network of biosensors; a network that can foray into domains that are unreachable using current technologies. Such a network of bacterial(bio) sensors differs significantly from traditional electromagnetic communication due to the devices used, the channel, the medium/environment and the application. We identify unique characteristics of bacterial networks that differentiates it from traditional networks viz., computational complexity, delay, and asymmetry that demands a fundamental redesign of communication algorithms. We developed practical and efficient communication algorithms to be implemented on bacterial transceivers.

October 10 @ 12:30
12:30 pm (1h)

Discovery Building, Orchard View Room

Bhuvana Krishnaswamy