GA-based optimal allocation of sensor resources

Jin Xia Chen; De Feng Chen; Yan Wang

doi:10.1109/ICMTCE.2013.6812494

GA-based optimal allocation of sensor resources

Jin Xia Chen, De Feng Chen^*, Yan Wang

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to conference › Paper › peer-review

Abstract

This work examines a straightforward solution to a problem of space surveillance resource allocation by exploring the application of an optimal algorithm to a subset of the general scheduling problem. Due to the resource constraints of the surveillance resource, there could be some serious conflicts among observation requirements. To solve the problem of conflicts in the work of sensor resources allocation, the Genetic Algorithm (GA) and the adapting priority weights method are used to optimize the allocation of sensor resources to maximize the satisfaction of the object observation requirements and the higher priority visibilities can be scheduled with higher success likelihoods.

Original language	English
Pages	395-397
Number of pages	3
DOIs	https://doi.org/10.1109/ICMTCE.2013.6812494
Publication status	Published - 2013
Event	2013 3rd IEEE International Conference on Microwave Technology and Computational Electromagnetics, ICMTCE 2013 - Qingdao, China Duration: 27 Aug 2013 → 29 Aug 2013

Conference

Conference	2013 3rd IEEE International Conference on Microwave Technology and Computational Electromagnetics, ICMTCE 2013
Country/Territory	China
City	Qingdao
Period	27/08/13 → 29/08/13

Keywords

Conflicts
Resource Allocation
Tracking
the Genetic Algorithm

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10.1109/ICMTCE.2013.6812494

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AB - This work examines a straightforward solution to a problem of space surveillance resource allocation by exploring the application of an optimal algorithm to a subset of the general scheduling problem. Due to the resource constraints of the surveillance resource, there could be some serious conflicts among observation requirements. To solve the problem of conflicts in the work of sensor resources allocation, the Genetic Algorithm (GA) and the adapting priority weights method are used to optimize the allocation of sensor resources to maximize the satisfaction of the object observation requirements and the higher priority visibilities can be scheduled with higher success likelihoods.

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KW - Tracking

KW - the Genetic Algorithm

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GA-based optimal allocation of sensor resources

Abstract

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Keywords

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