DocumentCode
658716
Title
Decentralized Telescope Management for Satellite Tracking
Author
Hafizoglu, Feyza Merve ; Mailler, Roger
Author_Institution
Tandy Sch. of Comput. Sci., Univ. of Tulsa, Tulsa, OK, USA
Volume
2
fYear
2013
fDate
17-20 Nov. 2013
Firstpage
383
Lastpage
390
Abstract
Currently, over 100 million objects orbit our planet in Low-Earth Orbit (LEO). To track these objects, the United States utilizes the Space Surveillance Network (SSN). However, numerous countries and corporations continue to expand their utilization of space leaving in their wake a sea of space debris. The rate that the number of objects is increasing has now outpaced our ability to build additional sites and there is an increasing concern for the safety of our astronauts and other space-borne assets. Another solution is to use large numbers of low-cost optical sensors, which can be easily deployed at a fraction of the cost of a traditional tracking station. However, the introduction of these systems, which are subject to time and position constraints, creates a complex coordination problem that must be solved in a communication limited environment. In this paper, we describe the satellite tracking problem and compare a resource allocation and scheduling representation for the problem. As an initial solution, scheduling tasks to telescope-slot pairs by a central facility is adopted. Then, we compare central and distributed repair mechanisms in terms of tasks completed and the communication cost. Finally, different distributed repair mechanism are proposed and compared.
Keywords
satellite tracking; telescopes; LEO; SSN; United States; decentralized telescope management; low earth orbit; resource allocation; satellite tracking; scheduling representation; space debris; space surveillance network; space-borne assets; Earth; Maintenance engineering; Resource management; Satellite broadcasting; Satellites; Schedules; Telescopes; distributed constraint satisfaction; satellite tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on
Conference_Location
Atlanta, GA
Print_ISBN
978-1-4799-2902-3
Type
conf
DOI
10.1109/WI-IAT.2013.136
Filename
6690815
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