In this paper, optimum design of distributed detection is considered for a parallel sensor network system consisting of a fusion center and multiple passive sonar nodes. Nonrandom fusion rules are employed as the fusion rules of the sensor network. For the nonrandom fusion rules, it is shown that a threshold rule of each sensor node has uniformly most powerful properties. Optimum threshold for each sensor is investigated that maximizes the probability of detection under a constraint on energy consumption due to false alarms. It is also investigated through numerical experiments how signal strength, false alarm probability, and the distance between three senso
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering."De...
Abstract—This paper addresses the optimization of wireless sensor networks for distributed detection...
International audienceThe reduction of communication costs is the key focus of distributed detection...
In this paper, modeling and design of a distributed detection system are considered for an active so...
Distributed detection with dependent observations is always a challenging problem. The problem of de...
Abstract—There is significant interest in battery-powered sensor networks to be used for detection i...
This paper describes a robust detection algorithm implemented on a network of acoustic sensors. The ...
Parallel distributed detection for wireless sensor networks is studied in this paper. The network co...
The relationship of decision rule of sensor for each other is relevant to data fusion, so different ...
97 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2003.Sensor networks powered by bat...
We propose a methodology for designing the local mapping rule for fully synchronized but energy-limi...
The subject of multi-sensor data fusion (or 'sensor fusion' in short) has grown explosively and a mu...
A distributed sensor network deployed to detect a binary event using a hard decision fusion scheme i...
For a wireless sensor network (WSN) with a random number of sensors, we propose a decision fusion r...
In this paper, basic results on distributed detection are reviewed. In particular, we consider the p...
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering."De...
Abstract—This paper addresses the optimization of wireless sensor networks for distributed detection...
International audienceThe reduction of communication costs is the key focus of distributed detection...
In this paper, modeling and design of a distributed detection system are considered for an active so...
Distributed detection with dependent observations is always a challenging problem. The problem of de...
Abstract—There is significant interest in battery-powered sensor networks to be used for detection i...
This paper describes a robust detection algorithm implemented on a network of acoustic sensors. The ...
Parallel distributed detection for wireless sensor networks is studied in this paper. The network co...
The relationship of decision rule of sensor for each other is relevant to data fusion, so different ...
97 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2003.Sensor networks powered by bat...
We propose a methodology for designing the local mapping rule for fully synchronized but energy-limi...
The subject of multi-sensor data fusion (or 'sensor fusion' in short) has grown explosively and a mu...
A distributed sensor network deployed to detect a binary event using a hard decision fusion scheme i...
For a wireless sensor network (WSN) with a random number of sensors, we propose a decision fusion r...
In this paper, basic results on distributed detection are reviewed. In particular, we consider the p...
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering."De...
Abstract—This paper addresses the optimization of wireless sensor networks for distributed detection...
International audienceThe reduction of communication costs is the key focus of distributed detection...
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