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16 results on '"Whipps, Gene T."'

4. Distributed Detection with Collisions in a Random, Single-Hop Wireless Sensor Network

Author

MICHIGAN UNIV ANN ARBOR, Whipps, Gene T, Ertin, Emre, Moses, Randolph L, MICHIGAN UNIV ANN ARBOR, Whipps, Gene T, Ertin, Emre, and Moses, Randolph L

Abstract

We consider the problem of distributed detection in a large network of sensors under network communication constraints. Sensor nodes are randomly deployed and follow a random sleep/wake schedule. When awake, sensor nodes perform local detection tests and communicate detections over a multiple-access channel to a fusion center. The fusion center can detect both successful communications and communication collisions in the channel. We show that the optimum fusion rule is a weighted sum of the number of detections received and the number of collisions detected by the fusion node. We derive analytical expressions that characterize the performance of the system. Simulation examples compare theoretical predictions with numerical results., Presented at the IEEE International Conference on Acoustics, Speech, and Signal Processing, 26 May 2013. The original document contains color images.

Published
2013

5. Distributed Detection of Binary Decisions with Collisions in a Large, Random Network

Author

ARMY RESEARCH LAB ADELPHI MD SENSORS AND ELECTRON DEVICES DIRECTORATE, Whipps, Gene T, Ertin, Emre, Moses, Randolph L, ARMY RESEARCH LAB ADELPHI MD SENSORS AND ELECTRON DEVICES DIRECTORATE, Whipps, Gene T, Ertin, Emre, and Moses, Randolph L

Abstract

We consider the problem of distributed detection in a large network of sensors under network communication constraints. Sensor nodes are randomly deployed and follow a random sleep/wake schedule. When awake, sensor nodes perform local detection tests and communicate detections over a multiple-access channel to a fusion center. The fusion center can detect both successful communications and communication collisions in the channel. We derive fusion rules for perfect communications and a delay-constrained protocol and show that each are functions of count statistics only. We derive analytical expressions that characterize the performance of the system in terms of energy consumption and detection probability. Simulation examples compare theoretical predictions with numerical results., The original document contains color images.

Published
2013

16. Threshold considerations in distributed detection in a network of sensors

Author

Whipps, Gene T., Ertin, Emre, and Moses, Randolph L.

Abstract

We consider the problem of distributed sensing and detection using a network of sensor nodes, and the challenges that arise in fusing disparate data. Multiple sensors make local inferences on the state of nature (e.g., the presence of a signal), and those observations are then transmitted to a regional fusion center. The fusion center is tasked to make improved decisions. We develop methods to optimize those decisions. Interoperability between disparate sensor nodes can be addressed by combining similar types of parameters (e.g., direction of arrival and location estimates to better infer location), albeit with varying qualities. As an initial problem, we consider the case where each sensor makes a binary decision on the presence of a signal source and the fusion node combines these to make a more accurate decision. We consider a lossy medium in which signals undergo a range-dependent propagation loss. We determine local thresholds that optimize a performance metric, including both constrained global detection performance and asymptotic error performance. We study the eect sensor node density on detection performance under a network load constraint. The asymptotic performance metrics provide indicators of the amount of value that each sensor contributes to the fusion task.

Published
2012
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