NDLI: EO constellation MPS based on ant colony optimization algorithms

Content Provider	IEEE Xplore Digital Library
Author	Iacopino, C. Palmer, P. Brewer, A. Policella, N. Donati, A.
Copyright Year	2013
Description	Author affiliation: Surrey Satellite Technol. Ltd., Guildford, UK (Brewer, A.) \|\| Eur. Space Oper. Centre, Darmstadt, Germany (Policella, N.; Donati, A.) \|\| Surrey Space Centre, Univ. of Surrey, Guildford, UK (Iacopino, C.; Palmer, P.)
Abstract	Missions involving multiple spacecraft can offer a number of benefits over single platforms. Earth Observation (EO) constellations have the potential to offer critical services for the society such as global monitoring and disaster management. This trend is opening new challenges to the automated Mission Planning & Scheduling (MPS) systems aiming at gaining maximum value from the constellations, by increasing the overall efficiency and the system responsiveness. In this paper, we describe an innovative ground-based automated planning & scheduling system for multiple platforms. The mission used as target for our design is the Disaster Monitoring Constellation, the first Earth Observation constellation of low cost small satellites. The novelty of this project is in designing an MPS as self-organizing multi agent architecture, inspired by Ant Colony Optimization algorithms, offering a system adaptable to the problem changes and able to synchronize the satellites' plans in order to avoid duplications.
Sponsorship	IEEE Aerosp. Electron. Syst. Soc.
Starting Page	159
Ending Page	164
File Size	1373101
Page Count	6
File Format	PDF
ISBN	9781467363952
e-ISBN	9781467363969
DOI	10.1109/RAST.2013.6581192
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-12
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Space vehicles Earth Ant Colony Optimization Ant colony optimization Satellites Automated Planning Scheduling Heuristic algorithms Scalability multiple platform Planning self-organizing multi agent EO Constellation
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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