Graph filters, which are considered as the workhorses of graph signal analysis in the emerging field of signal processing on graphs, are useful for many applications such as distributed estimation in wireless sensor networks. Many of these tasks are based on basic distributed operators such as consensus, which are carried out by sensor devices under limited energy supply. To cope with the energy constraints, this paper focuses on designing the network topology in order to maximize the network lifetime and reduce the energy consumption when applying graph filters. The problem is a complex combinatorial problem and in this work, we propose two efficient heuristic algorithms for solving it. We show by simulations that they provide good perform...
One of the most important issues in Wireless Sensor Networks (WSNs) is severe energy restrictions. A...
Abstract—Recent advances in ambient energy-harvesting tech-nologies have made it possible to power w...
In wireless sensor networks, a few sensor nodes end up being vulnerable to potentially rapid depleti...
The large number of nodes forming current sensor networks has made essential to introduce distribute...
Consensus algorithms are iterative methods that represent a basic building block to achieve superior...
Consensus algorithms have generated a lot of interest due to their ability to compute globally relev...
One of the primary constraints in the design and deployment of WSNs is energy, as sensor nodes are p...
This is a Deliverable Report for the FeedNetBack project (www.feednetback.eu). This report, divided ...
Distributed graph filters have recently found applications in wireless sensor networks (WSNs) to sol...
We present techniques to improve convergence speed of distributed average consensus algorithms in wi...
Sensor networks are increasingly employed in many applications ranging from environmental to militar...
This report addresses two different research problems: (i) It presents a wireless channel model that...
Achieving consensus on common global parameters through totally decentralized algorithms is a topic ...
Abstract-Wireless sensor networks (WSNs) have attracted a great deal of study due to the low cost of...
Contemporary growths in the field of microelectronics and network communications which make it achie...
One of the most important issues in Wireless Sensor Networks (WSNs) is severe energy restrictions. A...
Abstract—Recent advances in ambient energy-harvesting tech-nologies have made it possible to power w...
In wireless sensor networks, a few sensor nodes end up being vulnerable to potentially rapid depleti...
The large number of nodes forming current sensor networks has made essential to introduce distribute...
Consensus algorithms are iterative methods that represent a basic building block to achieve superior...
Consensus algorithms have generated a lot of interest due to their ability to compute globally relev...
One of the primary constraints in the design and deployment of WSNs is energy, as sensor nodes are p...
This is a Deliverable Report for the FeedNetBack project (www.feednetback.eu). This report, divided ...
Distributed graph filters have recently found applications in wireless sensor networks (WSNs) to sol...
We present techniques to improve convergence speed of distributed average consensus algorithms in wi...
Sensor networks are increasingly employed in many applications ranging from environmental to militar...
This report addresses two different research problems: (i) It presents a wireless channel model that...
Achieving consensus on common global parameters through totally decentralized algorithms is a topic ...
Abstract-Wireless sensor networks (WSNs) have attracted a great deal of study due to the low cost of...
Contemporary growths in the field of microelectronics and network communications which make it achie...
One of the most important issues in Wireless Sensor Networks (WSNs) is severe energy restrictions. A...
Abstract—Recent advances in ambient energy-harvesting tech-nologies have made it possible to power w...
In wireless sensor networks, a few sensor nodes end up being vulnerable to potentially rapid depleti...