 This kind of data redundancy due to the spatial correlation between sensor observations inspires the techniques for in-network data aggregation and mining.By measuring the spatial correlation between data sampled by different sensors, a wide class of specialized algorithms can be developed to develop more efficient spatial data mining algorithms as well as more efficient routing strategies.Also, researchers have developed performance models for MANET to apply queueing theory.