Self-organized task assignment for distributed sensors

Peter Molnar; Emily J. Lockett; Lance M. Kaplan

doi:10.1117/12.403718

16 October 2000 Self-organized task assignment for distributed sensors

Peter Molnar, Emily J. Lockett, Lance M. Kaplan

Proceedings Volume 4196, Sensor Fusion and Decentralized Control in Robotic Systems III; (2000) https://doi.org/10.1117/12.403718
Event: Intelligent Systems and Smart Manufacturing, 2000, Boston, MA, United States

Abstract

A new paradigm in ground surveillance consists of swarms of autonomous internetted sensors that can be used for target localization and environmental monitoring. The individual component is an inexpensive device containing multiple sensor types, a processor and wireless communication hardware. Scattered over a certain region, these devices are able to detect the direction or proximity of targets. One of the most limiting factors of the devices is the battery supply. In order to conserve power, these units should be able to adjust their activities to the current situations. Energy consuming signal processing should only be performed if the quality of the raw sensor data promises a significant improvement to the localization results. We propose a self-organized control system that allows the devices to select the algorithm complexity which balances the requirements for good localization performance and energy conservation. The devices make their selection autonomously, based on their own sensor data, information that they receive from other devices in the region, and the amount of energy they have left. The capability of this system will be demonstrated via computer simulations.

Citation Download Citation

Peter Molnar, Emily J. Lockett, and Lance M. Kaplan "Self-organized task assignment for distributed sensors", Proc. SPIE 4196, Sensor Fusion and Decentralized Control in Robotic Systems III, (16 October 2000); https://doi.org/10.1117/12.403718

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