Managing Power Conservation in Wireless Networks

摘要：

A major project is investigating methods for conserving power in wireless networks. A component of this project addresses methods for predicting whether the user demand load in each zone of a network is increasing, decreasing or approximately constant. These predictions are then fed into the power regulation system. This paper describes a real-time predictive model of network traffic load which is derived from experiments on real data. This model combines a linear regression based model and a highly reactive model that are applied to real-time data that is aggregated at two levels of granularity. The model gives excellent performance predictions when applied to network traffic load data.

关键词： power conservation data mining wireless networks

作者: Kongluan Lin John Debenham Simeon Simoff

作者单位: QCIS, FEIT, University of Technology, Sydney, Australia Computing and Mathematics, UWS, Sydney, Australia

会议类型: 国际会议

会议名称: 6th International Conference on Advanced Data Mining and Applications(第六届先进数据挖掘及应用国际会议 ADMA 2010)

会议地点: 重庆

会议语种:英文

页码: 314-325

在线出版日期: 2010-11-19（万方平台首次上网日期，不代表论文的发表时间）