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Uncertain Data Management for Wireless Sensor Networks Using Rough Set Theory by Dai Zhi-Feng; Li Yuan-Xiang; He Guo-Liang; Tong Ya-La; Shen Xian-Jun is a scholarly article available to read on EtoBox.

What is Uncertain Data Management for Wireless Sensor Networks Using Rough Set Theory about?

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.

Author

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

Publisher

IEEE

Published

2006

Language

EN