Mobile Agents versus Multicasting for Military Applications

نویسنده

  • William Franklin
چکیده

Mobile agents compete with multicasting for applications in distributed military systems. Systems such as unmanned aerial vehicles (UAVS) and automatic target recognition (AiTR) devices utilize intelligent agents to sense the environment and make decisions regarding reporting or firing on a target. Mobile agents migrate between these distributed components and assist in the learning and deductive processes in specifying a military target. By facilitating information overflow from external sensors the mobile agents can make localized decisions based on patterns in the sensor data and profiles. Multicasting consists of publishing and subscribing to messages that are subject tagged and made available with the assistance of a rendezvous router daemon. Since both methods can be used to access and process intelligent sensor data from these distributed information agents this report summarizes a comparison between mobile agents and multicasting.

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تاریخ انتشار 2006