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Proceedings Paper

Game theoretic sensor management for target tracking
Author(s): Dan Shen; Genshe Chen; Erik Blasch; Khanh Pham; Philip Douville; Chun Yang; Ivan Kadar
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Paper Abstract

This paper develops and evaluates a game-theoretic approach to distributed sensor-network management for target tracking via sensor-based negotiation. We present a distributed sensor-based negotiation game model for sensor management for multi-sensor multi-target tacking situations. In our negotiation framework, each negotiation agent represents a sensor and each sensor maximizes their utility using a game approach. The greediness of each sensor is limited by the fact that the sensor-to-target assignment efficiency will decrease if too many sensor resources are assigned to a same target. It is similar to the market concept in real world, such as agreements between buyers and sellers in an auction market. Sensors are willing to switch targets so that they can obtain their highest utility and the most efficient way of applying their resources. Our sub-game perfect equilibrium-based negotiation strategies dynamically and distributedly assign sensors to targets. Numerical simulations are performed to demonstrate our sensor-based negotiation approach for distributed sensor management.

Paper Details

Date Published: 27 April 2010
PDF: 8 pages
Proc. SPIE 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX, 76970C (27 April 2010); doi: 10.1117/12.850870
Show Author Affiliations
Dan Shen, DCM Research Resources, LLC (United States)
Genshe Chen, DCM Research Resources, LLC (United States)
Erik Blasch, Air Force Research Lab. (United States)
Khanh Pham, Air Force Research Lab. (United States)
Philip Douville, Air Force Research Lab. (United States)
Chun Yang, Sigtem Technology, Inc. (United States)
Ivan Kadar, Interlink Systems Sciences, Inc. (United States)

Published in SPIE Proceedings Vol. 7697:
Signal Processing, Sensor Fusion, and Target Recognition XIX
Ivan Kadar, Editor(s)

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