@inproceedings{f5f38df273b2426f9b1908698c673940,
title = "Cscan: A correlation-based scheduling algorithm for wireless sensor networks",
abstract = "Dynamic scheduling management in wireless sensor networks is one of the most challenging problems in long lifetime monitoring applications. In this paper, we propose and evaluate a novel data correlation-based stochastic scheduling algorithm, called Cscan. Our system architecture integrates an empirical data prediction model with a stochastic scheduler to adjust a sensor node's operational mode. We demonstrate that substantial energy savings can be achieved while assuring that the data quality meets specified system requirements. We have evaluated our model using a light intensity measurement experiment on a Micaz testbed, which indicates that our approach works well in an actual wireless sensor network environment. We have also investigated the system performance using Wisconsin-Minnesota historical soil temperature data. The simulation results demonstrate that the system error meets specified error tolerance limits and up to a 70 percent savings in energy can be achieved in comparison to fixed probability sensing schemes.",
author = "Qingquan Zhang and Yu Gu and Tian He and Sobelman, {Gerald E}",
year = "2008",
doi = "10.1109/ICNSC.2008.4525367",
language = "English (US)",
isbn = "9781424416851",
series = "Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC",
pages = "1025--1030",
booktitle = "Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC",
note = "2008 IEEE International Conference on Networking, Sensing and Control, ICNSC ; Conference date: 06-04-2008 Through 08-04-2008",
}