Title :
Adaptive nodes scheduling approach for clustered sensor networks
Author :
Xu, Xu ; Hu, Yu-Hen ; Jingping Bi ; Liu, Wei
Author_Institution :
Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China
Abstract :
Energy efficiency is an important issue in wireless sensor networks. One available power saving strategy is having only a portion of nodes work, but this would always compromise data quality as a result. In this paper, we propose an adaptive nodes scheduling approach (ADNS) to conserve energy while maintaining the overall data quality. ADNS selects a subset of nodes to be active and puts the others into sleep mode to save energy. An efficient active node selection (ANS) algorithm is presented. Using the spatial correlation among sensor readings as the prediction model, the values of sleep nodes are predicted by data collected from active nodes to ensure the data quality. In order to maintain the data quality throughout network operation, the prediction errors are validated timely and prediction models are adaptively reconstructed if necessary. We evaluate ADNS on a real-world sensor network data set and validate its effectiveness.
Keywords :
adaptive scheduling; energy conservation; wireless sensor networks; adaptive nodes scheduling approach; clustered sensor networks; energy efficiency; spatial correlation; wireless sensor networks; Adaptive scheduling; Bismuth; Computer networks; Energy efficiency; Power engineering computing; Predictive models; Processor scheduling; Sampling methods; Testing; Wireless sensor networks;
Conference_Titel :
Computers and Communications, 2009. ISCC 2009. IEEE Symposium on
Conference_Location :
Sousse
Print_ISBN :
978-1-4244-4672-8
Electronic_ISBN :
1530-1346
DOI :
10.1109/ISCC.2009.5202294