@inproceedings{c2afeb67738d4b8fa5bfb1bdd5dc6096,
title = "Energy-aware online algorithm to satisfy sampling rates with guaranteed probability for sensor applications",
abstract = "Energy consumption is a major factor that limits the performance of sensor applications. Sensor nodes have varying sampling rates since they face continuously changing environments. In this paper, the sampling rate is modeled as a random variable, which is estimated over a finite time window. We presents an online algorithm to minimize the total energy consumption while satisfying sampling rate with guaranteed probability. An efficient algorithm, EOSP (Energy-aware Online algorithm to satisfy Sampling rates with guaranteed Probability), is proposed. Our approach can adapt the architecture accordingly to save energy. Experimental results demonstrate the effectiveness of our approach.",
author = "Meikang Qiu and Sha, \{Edwin H.M.\}",
year = "2007",
doi = "10.1007/978-3-540-75444-2\_20",
language = "英语",
isbn = "9783540754435",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "156--167",
booktitle = "High Performance Computing and Communications - Third International Conference, HPCC 2007, Proceedings",
address = "德国",
note = "3rd International Conference on High Performance Computing and Communications, HPCC 2007 ; Conference date: 26-09-2007 Through 28-09-2007",
}
