Critical Value Aware Data Acquisition Strategy in Wireless Sensor Networks

• 作者: Guozhen Tan Ran Bi Xiaolin Fang
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 社会科学
• 关键词: Data model ADAPTIVE COLLECTION SENSOR NETWORKS
• 年，卷（期）: 2017,（2）
• 页码范围: 36-38
• 页数: 3页
• 分类号: C5

摘要

To monitor the physical world, Equi-Frequency Sampling (EFS) methods are widely applied for data acquisition in sensor networks.Due to the noise and inherent uncertainty of the environment,EFS based data acquisition may result in misconception to the physical world, and high frequency scheme produces massive sensed data, which consumes substantial cost for transmission. This paper proposes a novel sensed data model. Based on maximum likelihood estimation, the model can minimize measurement error. It is proved that the proposed model is asymptotic unbiased. Furthermore, this paper proposes Model based Adaptive Data Collection (MADC) Algorithm and designs a distributed lightweight computation algorithm named Distributed Adaptive Data Collection Algorithm (DADC). Based on the error of prediction, both algorithms can adaptively adjust the cycle of data collection. Performance evaluation verifies that the proposed algorithms have high performance in terms of accuracy and effectiveness.