Hardware Implementation Of Compressed Sensing Algorithm

被引：0
|
作者：
Chakraborty, Parnasree [1 ]
Tharini, C. [1 ]
Abidha, Minhaj M. [1 ]
机构：
[1] BS Abdur Rahman Inst Sci & Technol, Dept Elect & Commun Engn, Chennai 48, Tamil Nadu, India
来源：
PROCEEDINGS OF THE 2018 IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRICAL, CONTROL AND COMMUNICATION (RTECC) | 2018年
关键词：
Compressed Sensing; ECG; WSN; RMSE;
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：
Data compression in Wireless Sensor Network (WSN) intends to lessen the energy consumption of the system. Wireless sensor network consists of many sensor nodes. A sensor node is used to acquire data from external environment. The Acquired data is wirelessly transmitted to the gateway node, where the data can be processed to reduce the dimension of data. Sensor nodes consume more power consumption during transmission, so battery should be replaced regularly. One of the method proposed in literature to prolong the battery life of the sensors is Compressive Sensing (CS) technique. Compressive sensing is a data compression technique that is used to represent the signals in a sparse domain. In this paper, real time data like temperature data and ECG data are acquired and compressed using CS algorithm and the proposed algorithm is implemented in hardware using WSN module. For the mentioned input data, around 75% data savings is achieved during transmission in WSN and hence battery power is saved. Performance evaluation of the proposed algorithm is carried out in terms of Root Mean Square (RMSE) value.
引用
收藏
页码：46 / 50
页数：5
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