论文信息 - An Improved Adaptive Signal Processing Approach To Reduce Energy Consumption in Sensor Networks

An Improved Adaptive Signal Processing Approach To Reduce Energy Consumption in Sensor Networks

An improved distributed coding and signal processing approach is proposed to reduce energy consumption in wireless sensor networks. The proposed scheme exploits the inherent correlations among sensor data in order to reduce the transmission requirements. The energy consumption at data collection sensor nodes is reduced by implementing the correlation tracking algorithm at a data gathering node. The proposed algorithm extends the scheme proposed in [1] by improving the adaptive correlation tracking algorithm. Our numerical results based on sample real sensor data show that the proposed scheme can provide significant energy savings.

Kameswara Namuduri | Sudharman K. Jayaweera | M. L. Chebolu | Vijay K. Veeramachaneni

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