SYSYDec 13, 2014

In-vivo Network of Sensors and Actuators

arXiv:1412.4168
Originality Synthesis-oriented
AI Analysis

This work addresses the need for miniaturized, direct communication between sensors and actuators for cell-level therapy, but it is an incremental proposal without experimental validation.

The paper proposes a peer-to-peer network of in vivo sensors/actuators (S/As) at the cell scale, communicating via optical-frequency electromagnetic waves, to enable direct feedback from sensing to actuation for cell-level automatic therapy. The approach is claimed to be better adapted than RFID and WSN for cell-level tasks in terms of size, actuation speed, and collision avoidance.

An advanced system of sensors/actuators should allow the direct feedback of a sensed signal into an actuation, e.g., an action potential propagation through an axon or a special cell activity might be sensed and suppressed by an actuator through voltage stimulation or chemical delivery. Such a complex procedure of sensing and stimulation calls for direct communication among these sensors and actuators. In addition, minimizing the sensor/actuator to the size of a biological cell can enable the cell-level automatic therapy. For this objective, we propose such an approach to form a peer-to-peer network of \emph{in vivo} sensors/actuators (S/As) that can be deployed with or even inside biological cells. The S/As can communicate with each other via electromagnetic waves of optical frequencies. In comparison with the comparable techniques including the radio-frequency identification (RFID) and the wireless sensor network (WSN), this technique is well adapted for the cell-level sensing-actuating tasks considering the requirements on size, actuation speed, signal-collision avoidance, etc.

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