Sensors and Electron Devices Directorate Research Areas

Sensor Network Theory and Application

Advisor: Kaplan, Lance M. (lance.m.kaplan@us.army.mil 301-394-0807)
Keywords: Multi-objective optimization; Sensor node selection; Sensor management; Optimal design;

Information theory; Sensor management; Data/information fusion; Resource management; Estimation theory
The realization of network centric operations requires proper control and adaptation of sensor assets to realize mission success. This research opportunity considers both the theory and application of resource management and fusion of sensor assets in military relevant environments. Various sensor assets are available representing tradeoffs in terms of monetary cost, functionality, connectivity, accuracy, sensitivity, and power. In light of the available assets, optimal multi-objective strategies for procurement, deployment, and intelligent sensing need to be explored. Optimal procurement methods determine the best mix of sensor types for an expected range of applications and deployment strategies. Optimal deployment methods determine the best geometries to detect, recognize, and track targets and/or events of interest. Finally, intelligent sensing refers to the best selection, configuration, and operation of sensors to meet mission requirements while conserving power, bandwidth, and other critical resources.

References
Cevher V, Kaplan LM: ACM Transactions on Sensor Networks 5(3): 2009
Kaplan LM: IEEE Transactions on Aerospace and Electronic Systems 42(1): 113, 2006