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

摘要

An improved distributed coding and signal processingrnapproach is proposed to reduce energy consumptionrnin wireless sensor networks. The proposed scheme exploits therninherent correlations among sensor data in order to reducernthe transmission requirements. The energy consumption at datarncollection sensor nodes is reduced by implementing the correlationrntracking algorithm at a data gathering node. The proposedrnalgorithm extends the scheme proposed in [1] by improving thernadaptive correlation tracking algorithm. Our numerical resultsrnbased on sample real sensor data show that the proposed schemerncan provide significant energy savings.