Adaptive Data Acquisition with Energy Efficiency and Critical-Sensing Guarantee for Wireless Sensor Networks
Adaptive Data Acquisition with Energy Efficiency and Critical-Sensing Guarantee for Wireless Sensor Networks
复制标题
具有能源效率和无线传感器网络关键传感保证的自适应数据采集
DOI：
10.3390/s19122654
复制
发表时间：
2019-06
期刊：
影响因子：
3.9
通讯作者：
Ruchuan Wang
中科院分区：
文献类型：
--
作者：
Yuan Rao;Gang Zhao;Wen Wang;Jingyao Zhang;Zhaohui Jiang;Ruchuan Wang
由于有限的能量预算，无线传感器网络的能量效率已经做出了很大的努力，以提高。压缩感知的优点是由于其稀疏采样而节省能量;然而，它在及时数据采集方面存在固有的缺点。相比之下，基于预测的方法能够提供及时的数据采集，但频繁的模型同步和数据采样的开销削弱了数据减少的收益。压缩感知和基于预测的方法的集成是一种用于抑制数据传输以及及时收集关键数据的有前途的数据采集方案，但是在上述两种数据收集模式之间自适应地且有效地进行适当切换是具有挑战性的。结合数据采集模式和监测数据的特点，重点研究了数据采集模式集成框架、自适应偏差容限和自适应切换机制等关键问题。特别地，为了提高数据采集方案的灵活性，提出了自适应偏差容限。自适应切换机制旨在克服传统方法中的缺点，即除非采样频率足够高，否则无法有效地对现象变化做出反应。实验结果表明，该方案具有良好的灵活性和可扩展性，能够同时实现高能效和高质量的关键事件感知。
Due to the limited energy budget, great efforts have been made to improve energy efficiency for wireless sensor networks. The advantage of compressed sensing is that it saves energy because of its sparse sampling; however, it suffers inherent shortcomings in relation to timely data acquisition. In contrast, prediction-based approaches are able to offer timely data acquisition, but the overhead of frequent model synchronization and data sampling weakens the gain in the data reduction. The integration of compressed sensing and prediction-based approaches is one promising data acquisition scheme for the suppression of data transmission, as well as timely collection of critical data, but it is challenging to adaptively and effectively conduct appropriate switching between the two aforementioned data gathering modes. Taking into account the characteristics of data gathering modes and monitored data, this research focuses on several key issues, such as integration framework, adaptive deviation tolerance, and adaptive switching mechanism of data gathering modes. In particular, the adaptive deviation tolerance is proposed for improving the flexibility of data acquisition scheme. The adaptive switching mechanism aims at overcoming the drawbacks in the traditional method that fails to effectively react to the phenomena change unless the sampling frequency is sufficiently high. Through experiments, it is demonstrated that the proposed scheme has good flexibility and scalability, and is capable of simultaneously achieving good energy efficiency and high-quality sensing of critical events.
登录
查看更多内容
DOI：
10.1360/112013-118
发表时间：
2013-10
期刊：
--
影响因子：
--
作者：
Guoying Wang;YuJia Jiang;Lufeng Mo;Yanfeng Sun;Guomo Zhou
通讯作者：
Guoying Wang;YuJia Jiang;Lufeng Mo;Yanfeng Sun;Guomo Zhou
DOI：
10.1016/j.comcom.2017.08.002
发表时间：
2015-09
期刊：
Comput. Commun.
影响因子：
--
作者：
Gabriel Martins Dias;B. Bellalta;Simon Oechsner
通讯作者：
Gabriel Martins Dias;B. Bellalta;Simon Oechsner
影响因子：
1.7
作者：
Alaiad, Ahmad;Zhou, Lina
通讯作者：
Zhou, Lina
DOI：
10.1109/tkde.2015.2411594
发表时间：
2015-08
影响因子：
8.9
作者：
Usman Raza;A. Camerra;A. Murphy;Themis Palpanas;G. Picco
通讯作者：
Usman Raza;A. Camerra;A. Murphy;Themis Palpanas;G. Picco
无线传感器网络中的能量平衡压缩数据收集
影响因子：
8.7
作者：
Cuicui Lv;Qiang Wang;Wenjie Yan;Yi Shen
通讯作者：
Yi Shen