@article{YING2010, 
author = {Beihua YING and Yongpan LIU and Hui WANG},
title = {Improved Adaptive Compression Arbitration System for Wireless Sensor Networks},
year = {2010},
journal = {Tsinghua Science and Technology},
volume = {15},
number = {2},
pages = {202-208},
keywords = {wireless sensor network, energy efficiency, data compression, adaptive mechanism, arbitration system},
url = {https://www.sciopen.com/article/10.1016/S1007-0214(10)70051-1},
doi = {10.1016/S1007-0214(10)70051-1},
abstract = {Previous studies have indicated that data compression in wireless sensor networks is not always beneficial to energy conservation due to the additional computational energy costs. This work gives an energy-efficient arbitration mechanism that enhances the performance of compression algorithms by avoiding unnecessary energy losses. The adaptive compression arbitration system uses a new prediction modeling and adaptation. Tests show that the modeling method gives better predictions with the adaptive mechanism needing less data for modeling, which allows on-line prediction modeling instead of an off-line training process. Moreover, adaptive adjustments of the model parameters enable the system to keep good arbitration precision even as the data characteristics or applications change.}
}