Wireless sensor network is a set of tiny elements i.e. sensors. WSN is used in the field of Health Monitoring, Civil Construction, Military Applications and Agricultural etc., for monitoring environmental parameters. The WSN is having the challenges like less processing power, less memory, less bandwidth and battery powered. The data monitored through the sensors would be sent to the sink for data processing. The data sent from sensor node can be controlled for saving the energy, as maximum energy is consumed for transmission of data and it is not possible to replace the batteries frequently. In this work threshold based and adaptive threshold based data reduction techniques with energy efficient shortest path are used for minimizing the energy of sensor node and the network. Adaptive approach saves energy and reduce data by 30% to 40% as compared to threshold based approach.

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