A Novel Data Gathering Algorithm based on Compressed Sensing for Heterogeneous Wireless Sensor Networks

被引：0
|
作者：
Chen Hao [1 ]
Wu Xiaobei [1 ]
Huang Cheng [1 ]
机构：
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Jiangsu, Peoples R China
来源：
2014 33RD CHINESE CONTROL CONFERENCE (CCC) | 2014年
关键词：
Compressed Sensing; Data gathering Algorithm; Heterogeneous Wireless Sensor Networks; SIGNAL RECOVERY;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
As an emerging technique for signal processing, compressed sensing (CS) is being widely used in wireless sensor networks (WSNs). Unlike prior studies only apply CS theory to homogeneous WSNs, we develop a new data gathering algorithm based on CS for a particular heterogenous WSN. The main challenge of our scheme is how to combine CS with the heterogenous characteristic of the network. To solve this problem, we first formulate a cobweb model to structure this heterogenous WSN. Then we ameliorate the sampling stage of CS and propose a directed random routing to gather data based on the model. A simple simulate experiment is finally conducted to examine the efficiency of our work.
引用
收藏
页码：451 / 455
页数：5
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