Add to ORKGThe major challenge in designing wireless sensor networks (WSNs) is to resolve the limitation of energy and transmission capacity. Data compression, as an effective solution, is attracted many attentions. In this paper, a survey is done on the strategies and techniques for data compression in WSNs. And the data compression schemes are divided into two classes: classical methods and the potential technique based on compressed sensing. The basic procedures of each method are further analyzed, and the existing problems are also highlighted. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3507
Abstract: As a newly proposed theory, compressive sensing (CS) is commonly used in signal processing...
The energy consumption of each wireless sensor node is one of critical issues that require careful m...
Wireless sensor networks are composed of a few to several thousand sensors deployed over an area or ...
Abstract—Data compression is an art used to reduce the number of bits required to transmit the data ...
Power saving is a critical issue in wireless sensor networks (WSNs) since sensor nodes are powered b...
Power saving is a critical issue in wireless sensor networks (WSNs) since sensor nodes are powered b...
Signal compression is an important tool for reducing the communication costs and increasing the life...
Abstract—Wireless sensor networks (WSNs) open a new research field for pervasive computing and conte...
Energy consumption has risen to be a bottleneck in wireless sensor networks. This is caused by the c...
Abstract- Wireless sensor network consists of many tiny disposable low power devices called nodes, w...
A basic tenet of wireless sensor networks is that processing of data is less expensive in terms of p...
Abstract: One of the main issues with the wireless sensor network is its data transmission rate. Lat...
Energy efficiency is one of the most important design metrics for wireless sensor networks. As senso...
Energy consumption is one of the most critical issues in wireless sensor network (WSN). For a sensor...
Data gathering, either for event recognition or for monitoring applications is the primary intention...
Abstract: As a newly proposed theory, compressive sensing (CS) is commonly used in signal processing...
The energy consumption of each wireless sensor node is one of critical issues that require careful m...
Wireless sensor networks are composed of a few to several thousand sensors deployed over an area or ...
Abstract—Data compression is an art used to reduce the number of bits required to transmit the data ...
Power saving is a critical issue in wireless sensor networks (WSNs) since sensor nodes are powered b...
Power saving is a critical issue in wireless sensor networks (WSNs) since sensor nodes are powered b...
Signal compression is an important tool for reducing the communication costs and increasing the life...
Abstract—Wireless sensor networks (WSNs) open a new research field for pervasive computing and conte...
Energy consumption has risen to be a bottleneck in wireless sensor networks. This is caused by the c...
Abstract- Wireless sensor network consists of many tiny disposable low power devices called nodes, w...
A basic tenet of wireless sensor networks is that processing of data is less expensive in terms of p...
Abstract: One of the main issues with the wireless sensor network is its data transmission rate. Lat...
Energy efficiency is one of the most important design metrics for wireless sensor networks. As senso...
Energy consumption is one of the most critical issues in wireless sensor network (WSN). For a sensor...
Data gathering, either for event recognition or for monitoring applications is the primary intention...
Abstract: As a newly proposed theory, compressive sensing (CS) is commonly used in signal processing...
The energy consumption of each wireless sensor node is one of critical issues that require careful m...
Wireless sensor networks are composed of a few to several thousand sensors deployed over an area or ...