Using Autonomy, Organizational Design and Negotiation in a Distributed Sensor Network
In this paper we describe our solution to a real-time distributed tracking problem. The system works not by finding an optimal solution, but through a satisficing search for an allocation that is “goodenough” to meet the specified resource requirements, which can then be revised over time if needed. The agents in the environment are first organized by partitioning them into sectors, reducing the level of potential interaction between agents. Within each sector, agents dynamically specialize to address scanning, tracking, or other goals, which are instantiated as task structures for use by the SRTA control architecture. These elements exist to support resource allocation, which is directly effected through the use of the SPAM negotiation protocol. The agent problem solving component first discovers and generates commitments for sensors to use for gathering data, then determines if conflicts exist with that allocation, finally using arbitration and relaxation strategies to resolve such conflicts. We have empirically tested and evaluated these techniques in both the Radsim simulation environment and using the hardware-based system.
KeywordsAttenuation Expense Peri Lution Tate
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