HYBRID CLUSTERING BASED DATA AGGREGATION METHOD FOR MULTI-TARGET TRACKING IN WIRELESS SENSOR NETWORK

Provided are a sensor network structure, a data aggregation method, and a clustering method for efficient multi-target tracking. The multi-target tracking may be efficiently performed in a heterogeneous sensor network by combining clustering methods and adaptively varying the clustering methods. As such, an energy consumption problem in a sensor network may be reduced, and a data transmission delay problem or a data traffic problem may be solved by reducing the amount of data to be transmitted.