Archive | March 2016

Multi-model Oscillation Based Connectivity Theory Applied to the Integration of Bio-Sensory Data

1. Global Clock Synchronisation 

In computing many emerging sensor network applications require that the sensors in the network agree on the time. A global clock in a sensor system will help process and analyze the data correctly and predict future system behavior. For example, in the vehicle tracking application, each sensor may know the time when a vehicle is approaching. By matching the sensor location and sensing time, the sensor system may predict the vehicle moving direction and speed. Without a global agreement on time, the data from different sensors cannot be matched up. Other applications that need global clock synchronization include environment monitoring (for example, temperature), navigation guidance, and any other application that requires the coordination of locally sensed data and mobility.  Q Li 2004.

In these systems various approaches have been taken to temperature compensation  e.g Q Li 2004. S Chauhan 2012.   J M Castillo-Secilla 2013. 

A similar approach could potentially be taken to synchronising biosensors. A Prindle 2015T Danino 2009. J Hasty 2008,  J V Selinger 2003,

This posting considers whether a similar mechanism to global clock sychronisation could be connecting together biological sensors (using  the Transient Receptor Potential (TRP) superfamily of ion channels), and supporting temperature compensation.

Another posting on this site explores how this could also support the operational of neural networks. Read More…