Compressive sensing based data collection in wireless sensor networks

机译：无线传感器网络中基于压缩感测的数据收集

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Compressive sensing originates in the field of signal processing and has recently become a topic of energy-efficient data gathering in wireless sensor networks. In this paper, we introduce a distributed compressive sensing approach, which utilizes spatial correlation among sensor nodes to group them into coalitions. The coalition formation method is represented by a block diagonal measurement matrix whose each diagonal entity corresponds to one of the coalitions. Then, a spatial-temporal correlation-based compressive sensing approach is used inside each coalition to schedule sensor nodes and encode their readings. Distributed data encoding over coalitions increases robustness and scalability of the approach. Simulation results verify that the proposed solution outperforms other compressive sensing approaches significantly in terms of data accuracy and energy efficiency.

机译：压缩感测起源于信号处理领域，最近已成为无线传感器网络中节能数据收集的主题。在本文中，我们介绍了一种分布式压缩感知方法，该方法利用传感器节点之间的空间相关性将它们分组为联盟。联盟形成方法由块对角线测量矩阵表示，该矩阵的每个对角实体对应于一个联盟。然后，在每个联盟内部使用基于时空相关的压缩感测方法来调度传感器节点并编码其读数。联盟上的分布式数据编码提高了该方法的鲁棒性和可伸缩性。仿真结果验证了所提出的解决方案在数据准确性和能效方面明显优于其他压缩感测方法。

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来源
《2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems》|2017年|442-447|共6页
会议地点 Daegu(KR)
作者
Alireza Masoum; Nirvana Meratnia; Paul J. M. Havinga;
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作者单位

Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, 7500 AE Enschede, The Netherlands;

Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, 7500 AE Enschede, The Netherlands;

Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, 7500 AE Enschede, The Netherlands;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Compressed sensing; Correlation; Energy measurement; Base stations; Energy consumption; Sensors; Wireless sensor networks;

机译：压缩传感;相关性;能量测量;基站;能耗;传感器;无线传感器网络;;

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1. A compressive sensing–based adaptable secure data collection scheme for distributed wireless sensor networks [J] . Zhen Liu, Yi-Liang Han, Xiao-Yuan Yang International Journal of Distributed Sensor Networks . 2019,第6期

机译：基于压缩感知的自适应安全数据收集方案，用于分布式无线传感器网络
2. Compressive sensing and random walk based data collection in wireless sensor networks [J] . Zhang Ping, Wang Jianxin, Guo Kehua Computer Communications . 2018,第SEPa期

机译：无线传感器网络中基于压缩感测和随机游走的数据收集
3. A secure data collection scheme based on compressive sensing in wireless sensor networks [J] . Zhang Ping, Wang Shaokai, Guo Kehua, Ad hoc networks . 2018,第MARa期

机译：无线传感器网络中基于压缩感知的安全数据收集方案
4. Compressive sensing based data collection in wireless sensor networks [C] . Alireza Masoum, Nirvana Meratnia, Paul J. M. Havinga IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems . 2017

机译：基于压缩的无线传感器网络数据集合
5. Data collection algorithms in wireless sensor networks employing compressive sensing. [D] . Nguyen, Minh Tuan. 2016

机译：无线传感器网络中采用压缩感测的数据收集算法。
6. CS2-Collector: A New Approach for Data Collection in Wireless Sensor Networks Based on Two-Dimensional Compressive Sensing [O] . Yong Wang, Zhuoshi Yang, Jianpei Zhang, 2016

机译：CS2-Collector：基于二维压缩感知的无线传感器网络数据收集新方法
7. A compressive sensing–based adaptable secure data collection scheme for distributed wireless sensor networks [O] . Zhen Liu, Yi-Liang Han, Xiao-Yuan Yang 2019

机译：用于分布式无线传感器网络的基于压缩感应的可适应性安全数据收集方案

Compressive sensing based data collection in wireless sensor networks

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