Data reduction using clustering method in wireless sensor network

In this paper some parameters that reasons data redundancy and kinds of data redundancy in wireless sensor networks are defined, then introduced a clustering algorithm for data reduction in wireless sensor network using benefits of sensor network such as each node receives its neighbor's data, correlation between neighbors and low rate of changing in environmental data. New introduced algorithm made better using of energy and bandwidth that are two restrictions in wireless sensor networks. Simulation results show that about 30% to 80% approve in energy consumption will be attain in new introduced algorithm for environmental low changing rate data.