Data Reduction Algorithms for Wireless Sensor Networks in Environment Monitoring and Warning Applications

This work presents an algorithm that can monitor the environment frequently, informing of sudden changes in the data and warn of over-threshold of data, while reducing data transfer to the sink node in order to reduce energy consumption. In the experiments executed, the results show that monitoring, informing and warning networks are worked completely when this algorithm is embedded for sensor nodes of wireless sensor networks respectively. Producing experiments measuring water level and temperature via a wireless sensor network, the received results show that the information at sink node including usual environment data, sudden changing environment data and data-overflow of pre-defined threshold is preserved. Using this algorithm the numbers of total sensed data which are sent to the sink node are decreased, and the energy consumption of sensor nodes is saved effectively. The sensor node saves energy, thus the lifetime of whole network is prolonged.