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Proceedings Paper

A trust-based sensor allocation algorithm in cooperative space search problems
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Paper Abstract

Sensor allocation is an important and challenging problem within the field of multi-agent systems. The sensor allocation problem involves deciding how to assign a number of targets or cells to a set of agents according to some allocation protocol. Generally, in order to make efficient allocations, we need to design mechanisms that consider both the task performers' costs for the service and the associated probability of success (POS). In our problem, the costs are the used sensor resource, and the POS is the target tracking performance. Usually, POS may be perceived differently by different agents because they typically have different standards or means of evaluating the performance of their counterparts (other sensors in the search and tracking problem). Given this, we turn to the notion of trust to capture such subjective perceptions. In our approach, we develop a trust model to construct a novel mechanism that motivates sensor agents to limit their greediness or selfishness. Then we model the sensor allocation optimization problem with trust-in-loop negotiation game and solve it using a sub-game perfect equilibrium. Numerical simulations are performed to demonstrate the trust-based sensor allocation algorithm in cooperative space situation awareness (SSA) search problems.

Paper Details

Date Published: 20 May 2011
PDF: 9 pages
Proc. SPIE 8044, Sensors and Systems for Space Applications IV, 80440C (20 May 2011); doi: 10.1117/12.882904
Show Author Affiliations
Dan Shen, Independent Consultant (United States)
Genshe Chen, Independent Consultant (United States)
Khanh Pham, Air Force Research Lab. (United States)
Erik Blasch, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 8044:
Sensors and Systems for Space Applications IV
Khanh D. Pham; Henry Zmuda; Joseph Lee Cox; Greg J. Meyer, Editor(s)

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