© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.In this paper, we consider a communication scenario where multiple EH sensor nodes collect correlated measurements of an underlying random field. The nodes operate in an energy-neutral manner (i.e. energy is used as soon as it is harvested) and, hence, the energy-harvesting and sampling processes at the sensor nodes become inter-twined, random and spatially correla...
This paper investigates an optimal energy allocation problem for multisensor estimation of a random ...
Remote estimation with an energy harvesting sensor with a limited data and energy buffer is consider...
Compressive Sampling (CS) is a powerful sampling technique that allows accurately reconstructing a c...
© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
The application of Wireless Sensor Networks (WSNs) is restrained by their often-limited lifetime. A ...
25th Signal Processing and Communications Applications Conference, SIU 2017; Antalya; Turkey; 15 May...
Wireless Sensor Networks (WSNs) are often densely deployed to monitor a physical phenomenon, whose n...
Abstract—In this paper, we study the energy-efficient dis-tributed estimation problem for a wireless...
In this paper, we focus on the use of wireless sensor networks for the estimation of spatially-corre...
Abstract—We analyze a binary hypothesis testing problem built on a wireless sensor network (WSN) for...
Abstract—We consider the scenario in which multiple sensors send spatially correlated data to the fu...
The availability of cheap and easy-to-install sensors is bolstering the development of monitoring ap...
We address the two fundamental problems of spatial field reconstruction and sensor selection in het-...
In a resource-constrained Wireless Sensor Networks (WSNs), the optimization of the sampling and the ...
Abstract—We consider sensor networks that measure spatio-temporal correlated processes. An important...
This paper investigates an optimal energy allocation problem for multisensor estimation of a random ...
Remote estimation with an energy harvesting sensor with a limited data and energy buffer is consider...
Compressive Sampling (CS) is a powerful sampling technique that allows accurately reconstructing a c...
© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
The application of Wireless Sensor Networks (WSNs) is restrained by their often-limited lifetime. A ...
25th Signal Processing and Communications Applications Conference, SIU 2017; Antalya; Turkey; 15 May...
Wireless Sensor Networks (WSNs) are often densely deployed to monitor a physical phenomenon, whose n...
Abstract—In this paper, we study the energy-efficient dis-tributed estimation problem for a wireless...
In this paper, we focus on the use of wireless sensor networks for the estimation of spatially-corre...
Abstract—We analyze a binary hypothesis testing problem built on a wireless sensor network (WSN) for...
Abstract—We consider the scenario in which multiple sensors send spatially correlated data to the fu...
The availability of cheap and easy-to-install sensors is bolstering the development of monitoring ap...
We address the two fundamental problems of spatial field reconstruction and sensor selection in het-...
In a resource-constrained Wireless Sensor Networks (WSNs), the optimization of the sampling and the ...
Abstract—We consider sensor networks that measure spatio-temporal correlated processes. An important...
This paper investigates an optimal energy allocation problem for multisensor estimation of a random ...
Remote estimation with an energy harvesting sensor with a limited data and energy buffer is consider...
Compressive Sampling (CS) is a powerful sampling technique that allows accurately reconstructing a c...