2007
DOI: 10.1080/01969720600998652
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Reactive Tuning of Target Estimate Accuracy in Multisensor Data Fusion

Abstract: Dealing with conflicting and target-specific requirements is an important issue in multi-sensor and multi-target tracking. This paper aims to allocate sensing resources among various targets in reaction to individual information requests. The approach proposed is to introduce agents for every relevant target responsible for its tracking. Such agents are expected to bargain with each other for a division of resources. A bilateral negotiation model is established for resource allocation in twotarget tracking. Th… Show more

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Cited by 2 publications
(4 citation statements)
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“…The scheme is motivated by the recent research work of Xiong et al in [14]. We modify their scheme and test the revised scheme with more realistic experiments.…”
Section: Agent-based Game Theoretic Negotiation For Sensor Assignmentmentioning
confidence: 97%
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“…The scheme is motivated by the recent research work of Xiong et al in [14]. We modify their scheme and test the revised scheme with more realistic experiments.…”
Section: Agent-based Game Theoretic Negotiation For Sensor Assignmentmentioning
confidence: 97%
“…With developments of modern systems through increased bandwidth, wireless communication, and enhanced power, decentralized management becomes more workable for a sensor network. Developing decentralized management technique [14] is becoming an active R&D area again. In this paper, a decentralized method based on game theoretic negotiation is presented for sensor assignment.…”
Section: Limitations Of the Centralized Sensor Management Strategiesmentioning
confidence: 99%
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“…This article indicates how a distributed assignment strategy based on game theory helps to enhance the robustness of a sensor network. Another recently published paper 13 deals with target-specific requests for reactive resource allocation using game theoretic negotiation.…”
Section: Introductionmentioning
confidence: 99%