HKUST Institutional Repository >
Computer Science and Engineering >
CSE Conference Papers >
Please use this identifier to cite or link to this item:
|Title: ||A weighted moving average-based approach for cleaning sensor data|
|Authors: ||Lian, Jie|
Wang, X. Sean
|Keywords: ||Weighted moving average algorithm|
|Issue Date: ||2007 |
|Citation: ||Proceedings 27th International Conference on Distributed Computing Systems (ICDCS 2007), 25-27 June 2007, Toronto, ON, Canada|
|Abstract: ||Nowadays, wireless sensor networks have been widely used in many monitoring applications. Due to the low quality of sensors and random effects of the environments, however, it is well known that the collected sensor data are noisy. Therefore, it is very critical to clean the sensor databefore using them to answer queries or conduct data analysis. Popular data cleaning approaches, such as the moving average, cannot meet the requirements of both energy efficiency and quick response time in many sensor related applications.
In this paper, we propose a hybrid sensor data cleaning approach with confidence. Specifically, we propose a smart weighted moving average (WMA) algorithm that collects confidence data from sensors and computes the weighted moving average. The rationale behind the WMA algorithm is to draw more samples for a particular value that is of great importance to the moving average, and provide higher confidence weight for this value, such that this important value can be quickly reflected in the moving average. Based on our extensive simulation results, we demonstrate that, compared to the simple moving average (SMA), our WMA approach can effectively clean data and offer quick response time.|
|Rights: ||© 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.|
|Appears in Collections:||CSE Conference Papers|
Files in This Item:
All items in this Repository are protected by copyright, with all rights reserved.