Extremum Tracking in Sensor Fields With Spatio-Temporal Correlation
Physical phenomena such as temperature, humidity, and wind velocity often exhibit both spatial and temporal correlation. The authors consider the problem of tracking the extremum value of a spatio-temporally correlated field using a wireless sensor network. Determining the extremum at the fusion center after making all sensor nodes transmitting their measurements is not energy-efficient because the spatio-temporal correlation of the field is not exploited. They present an optimal centralized algorithm that utilizes the aforementioned correlation to not only minimize the number of transmitting sensors but also ensure low tracking error with respect to the actual extremum.