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Abstract

Energy consumption is a very big challenge in Wireless Sensor Networks (WSN) as the battery power of sensor is limited and limited storage capacity. In real time environment, large no of sensors are deployed for data collections and in some cases sensor fails to collect the data due to the external factors such as pressure, temperature and electromagnetic noise. Lot of energy is consumed in vain for computing these incorrect measurements. Data fusion is the best solution to reduce the energy consumption in WSN, when data collection is interrupted by the sensor failure. Using data fusion the redundant data collected from sensor can be reduced, which can reduce the energy consumption of the entire network thereby enhancing the lifetime of the sensor network. In this paper a detailed survey on the various existing data fusion models are done and the comparisons on the various fusion models were discussed.