Although compressed sensing (CS) has been envisioned as a useful technique to improve the performance of wireless sensor networks (WSNs), it is still not very clear how exactly it will be applied and how big the improvements will be. In this paper, we propose two different ways (plain-CS and hybrid-CS) of applying CS to WSNs at the networking layer, in the form of a particular data aggregation mechanism. We formulate three flow-based optimization problems to compute the throughput of the non-CS, plain-CS, and hybrid-CS schemes. We provide the exact solution to the first problem corresponding to the non-CS case and lower bounds for the cases with CS. Our preliminary numerical results are only for a low-power regime. They illustrate two cruci...
The major challenge in designing wireless sensor networks (WSNs) is to resolve the limitation of ene...
Compressed Sensing (CS) is a novel sampling paradigm that tries to take data-compression concepts do...
A wireless sensor network monitors the environment at a macroscopic level. It comprises interconnect...
Although compressed sensing (CS) has been envisioned as a useful technique to improve the performanc...
Wireless Sensor Networks (WSN) are integrable basic elements of Internet of Things (IoT). WSN deploy...
Abstract: As a newly proposed theory, compressive sensing (CS) is commonly used in signal processing...
Compressed sensing for wireless sensor networks has attracted a lot of research attention in the las...
In the process of transmission in wireless sensor networks (WSN), a vital problem is that a centre r...
Abstract—This paper presents a tutorial for CS applications in communications networks. The Shannon’...
In wireless sensor network (WSN) there are two main problems in employing conventional compression t...
Compressive sensing (CS) is a new approach to simultaneous sensing and compressing that is highly pr...
Sensing of the application environment is the main purpose of a wireless sensor network. Most existi...
Compressive Sensing (CS) shows high promise for fully distributed compression in wireless sensor net...
Compressive sensing (CS) is a new paradigm in signal processing and sampling theory. In this chapter...
Compressive sensing (CS) is a new technology in digital signal processing capable of high-resolution...
The major challenge in designing wireless sensor networks (WSNs) is to resolve the limitation of ene...
Compressed Sensing (CS) is a novel sampling paradigm that tries to take data-compression concepts do...
A wireless sensor network monitors the environment at a macroscopic level. It comprises interconnect...
Although compressed sensing (CS) has been envisioned as a useful technique to improve the performanc...
Wireless Sensor Networks (WSN) are integrable basic elements of Internet of Things (IoT). WSN deploy...
Abstract: As a newly proposed theory, compressive sensing (CS) is commonly used in signal processing...
Compressed sensing for wireless sensor networks has attracted a lot of research attention in the las...
In the process of transmission in wireless sensor networks (WSN), a vital problem is that a centre r...
Abstract—This paper presents a tutorial for CS applications in communications networks. The Shannon’...
In wireless sensor network (WSN) there are two main problems in employing conventional compression t...
Compressive sensing (CS) is a new approach to simultaneous sensing and compressing that is highly pr...
Sensing of the application environment is the main purpose of a wireless sensor network. Most existi...
Compressive Sensing (CS) shows high promise for fully distributed compression in wireless sensor net...
Compressive sensing (CS) is a new paradigm in signal processing and sampling theory. In this chapter...
Compressive sensing (CS) is a new technology in digital signal processing capable of high-resolution...
The major challenge in designing wireless sensor networks (WSNs) is to resolve the limitation of ene...
Compressed Sensing (CS) is a novel sampling paradigm that tries to take data-compression concepts do...
A wireless sensor network monitors the environment at a macroscopic level. It comprises interconnect...