—Collaborative spectrum sensing has been regarded as a promising approach to enable secondary users to detect primary users by exploiting spatial diversity. In this paper, we con...
—This paper addresses optimal spectrum sensing in cognitive radio networks considering its system level cost that accounts for the local processing cost of sensing (sample collec...
—We study a decentralized detection architecture in which each of a set of sensors transmits a highly compressed summary of its observations (a binary message) to a fusion center...
O. Patrick Kreidl, John N. Tsitsiklis, Spyros I. Z...
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
Abstract--Distributed detection of information flows is considered in which traffic sensors at different locations of a network observe transmission epochs. The traffic sensors com...
This work considers the problem of quickest detection with N distributed sensors that receive sequential observations either in discrete or in continuous time from the environment....
Olympia Hadjiliadis, Hongzhong Zhang, H. Vincent P...
In this paper, we propose an iteration-free algorithm to find the optimal configuration, including transmit power and source coding rates, to maximize the lifetime of a cluster ...
The problem of routing of sensor observations for optimal detection of a Markov random field (MRF) at a designated fusion center is analyzed. Assuming that the correlation structur...
In this paper, we study the optimal way of distributing sensors in a random field to minimize the estimation distortion. We show that this problem is equivalent to certain proble...
Abstract—We consider the distributed estimation of an unknown vector signal in a resource constrained sensor network with a fusion center. Due to power and bandwidth limitations,...
Jinjun Xiao, Shuguang Cui, Zhi-Quan Luo, Andrea J....