Uncertain Data Management for Wireless Sensor Networks Using Rough Set Theory

摘要：

The wireless sensor networks (WSN) is a new emerging field with many sensor nodes deployed in a wide sphere to carry out a certain task. Considering the features of limited energy and densely deployed sensor nodes, the key challenge in wireless sensor networks is to reduce the power consumption and the high information redundancy. Furthermore, communication is widely viewed as the dominating power cost in many sensor networks applications, so it is obvious that it will save energy if data is aggregated before being sent to the sink node. As the illustrative examples are shown, rough set theory is a useful tool for local redundancy information de-correlation and can eliminate redundant transmission so as to provide a solution to uncertain data management for wireless sensor networks.

关键词： wireless sensor networks rough set theory uncertain data aggregation energy efficiency

作者: Dai Zhi-Feng Li Yuan-Xiang He Guo-Liang Tong Ya-La Shen Xian-Jun

作者单位: School of Computer,Wuhan University Wuhan 430072,P.R.China State Key Laboratory of Software Engineering,Wuhan University Wuhan 430072,P.R.China

会议类型: 国际会议

会议名称: 第二届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 武汉

会议语种:英文

在线出版日期: 2006-09-01（万方平台首次上网日期，不代表论文的发表时间）