ABSTRACT
Despite increasing interest, sensor network research is still in its initial phase. Few real systems are deployed and little data is available to test proposed protocol designs. Most sensor network research to date uses randomly generated data input to evaluate systems. Evaluating the system with data representing real-world scenarios or representing a wide range of conditions is essential for systematic protocol design and evaluation of sensor
network systems whose performance is sensitive to the spatio-temporal features of the system inputs. To our knowledge, there has been no previous work done on modeling data input in a sensor network context.
