On the Quality and Timeliness of Fusion in a Random Access Sensor Network


In this letter, we have a tendency to investigate the trade-off between the quality of multi-sensor fusion call and also the delay of making that call during a random access sensor network in a very explicit setting where the correlation between 2 sensor observations decreases with the increasing distance between these sensors. We propose a system operation whereby the nodes located in an exceedingly tiny neighborhood of a sensor node that has successfully transmitted its decision to the fusion center are deactivated to reduce the contention over the random access channel. We have a tendency to propose a utility function that involves the standard and timeliness of the decision and verify the optimal size of this neighborhood analytically beneath a Markovian system operation model and numerically by simulating the actual system operation. These experiments demonstrate how our model can be used to set this neighborhood size before data assortment to attain a desired trade-off between decision quality and timeliness.

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