An assignment based distributed resource manager

Aubrey B. Poore; Scott Danford; Matthew J. Hilt

doi:10.1117/12.851876

15 April 2010 An assignment based distributed resource manager

Aubrey B. Poore, Scott Danford, Matthew J. Hilt

Proceedings Volume 7698, Signal and Data Processing of Small Targets 2010; 769814 (2010) https://doi.org/10.1117/12.851876
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

The goal of this paper is to demonstrate the coordination in real-time of the operation of multiple sensors in such a way that those best-equipped for certain missions should perform those missions for the entire network, while other sensors fill in the gaps with their capabilities. The networked system of sensors must search, detect, track, classify, and engage targets of high value in a timely fashion. The information transmitted should be that which contributes the most toward achieving the performance goals (e.g., track accuracy, track completeness, and a consistent operational picture or single integrated air picture (SIAP)) subject to the network bandwidth constraints and the capabilities of the sensors. We present an overview of an assignment based sensor resource manager, a distributed algorithm for coordinating the assignment problem, and simulation results that validate this approach. While the assignment formulation and algorithms could include both sensor resource and bandwidth constraints with versions for single and multiple time periods, i.e., myopic and non-myopic, the distributed prototype formulation and algorithms developed for these experiments were restricted to the tasking of certain sensors to make measurements and transmit them over the network based on the current air picture. The number of measurements put on the network was controlled by limiting the number of sensors that could transmit measurements on each target. The communication loading was then measured to demonstrate that indeed one can design a distributed sensor resource manager capable of achieving the objectives of significantly reducing the communication loading and maintaining SIAP.

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Aubrey B. Poore, Scott Danford, and Matthew J. Hilt "An assignment based distributed resource manager", Proc. SPIE 7698, Signal and Data Processing of Small Targets 2010, 769814 (15 April 2010); https://doi.org/10.1117/12.851876

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KEYWORDS

Sensors

Algorithm development

Sensor networks

Detection and tracking algorithms

Sensor performance

Computer simulations

Prototyping

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