THIS PAPER IS ELIGIBLE FOR THE STUDENT PAPER AWARD. We consider distributed computation of functions of distributed data in random planar networks with noisy wireless links. We present a new algorithm for computation of the maximum value which is order optimal in the number of transmissions and computation time. We also adapt the histogram computation algorithm of Ying et al [1] to make the histogram computation time optimal.© IEE
We propose very simple randomized algorithms to compute sparse overlay networks for geometric random...
Abstract-We consider a scenario where a wireless sensor network is formed hy randomly deploying n se...
We consider a scenario where a wireless sensor network is formed by randomly deploying n sensors to ...
PAPER AWARD. We consider distributed computation of func-tions of distributed data in random planar ...
We consider a scenario in which a wireless sensor network is formed by randomly deploying n sensors ...
We consider a scenario in which a wireless sensor network is formed by randomly deploying n sensors ...
We propose a method to compute a probably approximately correct (PAC) histogram of observations with...
A network of nodes communicate via point-to-point memoryless independent noisy channels. Each node ...
The problem of designing policies for in-network function computation with minimum energy consumptio...
Abstract — Sensor networks are not just data networks with sensors being the sources of data. Rather...
Abstract—A network of nodes communicate via noisy channels. Each node has some real-valued initial m...
We address the problem of data gathering in a wireless network using multi-hop communication; our ma...
We address the problem of data gathering in a wireless network using multi-hop communication; our ma...
AbstractWe address the problem of data gathering in a wireless network using multi-hop communication...
We propose very simple randomized algorithms to compute sparse overlay networks for geometric random...
We propose very simple randomized algorithms to compute sparse overlay networks for geometric random...
Abstract-We consider a scenario where a wireless sensor network is formed hy randomly deploying n se...
We consider a scenario where a wireless sensor network is formed by randomly deploying n sensors to ...
PAPER AWARD. We consider distributed computation of func-tions of distributed data in random planar ...
We consider a scenario in which a wireless sensor network is formed by randomly deploying n sensors ...
We consider a scenario in which a wireless sensor network is formed by randomly deploying n sensors ...
We propose a method to compute a probably approximately correct (PAC) histogram of observations with...
A network of nodes communicate via point-to-point memoryless independent noisy channels. Each node ...
The problem of designing policies for in-network function computation with minimum energy consumptio...
Abstract — Sensor networks are not just data networks with sensors being the sources of data. Rather...
Abstract—A network of nodes communicate via noisy channels. Each node has some real-valued initial m...
We address the problem of data gathering in a wireless network using multi-hop communication; our ma...
We address the problem of data gathering in a wireless network using multi-hop communication; our ma...
AbstractWe address the problem of data gathering in a wireless network using multi-hop communication...
We propose very simple randomized algorithms to compute sparse overlay networks for geometric random...
We propose very simple randomized algorithms to compute sparse overlay networks for geometric random...
Abstract-We consider a scenario where a wireless sensor network is formed hy randomly deploying n se...
We consider a scenario where a wireless sensor network is formed by randomly deploying n sensors to ...