A two-level resource organization and optimization framework via optimization and agent negotiation for Multi-satellite reconnaissance and surveillance system

Author

Si-wei, Cheng ; Jing, Chen ; Lin-Cheng, Shen ; Yu, Lv

Author_Institution

Coll. of Electromech. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China

Volume

3

fYear

2010

fDate

26-28 Feb. 2010

Firstpage

397

Lastpage

401

Abstract

In Multi-satellite reconnaissance and surveillance system (MSRSS), How to organize various satellites and their sensors to meet various complex reconnaissance and surveillance missions and how to optimize the utilization of these resources are the highly complex and key questions. To solve the problem, a two-level framework via particle swarm optimization (PSO) and contract-based agent negotiation is presented to solve dynamic Resource organization and optimization for Multi-satellite reconnaissance and surveillance system. A centralized optimization model on the upper level, and a distributed agent-negotiation model on the lower level are given respectively.

Keywords

artificial satellites; multi-agent systems; particle swarm optimisation; agent negotiation; multisatellite reconnaissance and surveillance system; optimization framework; particle swarm optimization; sensors; two level resource organization; Automation; Educational institutions; Electromechanical sensors; Military satellites; Optimization methods; Particle swarm optimization; Reconnaissance; Sensor systems; Space vehicles; Surveillance; Multi-satellite reconnaissance and surveillance; Resource organization optimization; contract-based negotiation; particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-5585-0

Electronic_ISBN

978-1-4244-5586-7

Type

conf

DOI

10.1109/ICCAE.2010.5451383

Filename

5451383