Download An Introduction to Optimal Satellite Range Scheduling by Antonio Jose Vazquez Alvarez, Richard Scott Erwin PDF

By Antonio Jose Vazquez Alvarez, Richard Scott Erwin

The satellite tv for pc variety scheduling (SRS) challenge, a huge operations study challenge within the aerospace inclusive of allocating projects between satellites and Earth-bound gadgets, is tested during this booklet. SRS ideas and recommendations are acceptable to many components, including:

  • Satellite communications, the place projects are communique periods among units of satellites and floor stations
  • Earth remark, the place projects are observations of spots on the planet via satellites
  • Sensor scheduling, the place initiatives are observations of satellites via sensors at the Earth.

This self-contained monograph starts with a dependent compendium of the matter and strikes directly to clarify the optimum method of the answer, which include features from graph idea, set concept, online game concept and trust networks. This ebook is offered to scholars, pros and researchers in various fields, together with: operations examine, optimization, scheduling conception, dynamic programming and video game concept. Taking account of the allotted, stochastic and dynamic variations of the matter, this booklet offers the optimum technique to the fastened period SRS challenge and the way emigrate effects into extra advanced situations. Reference algorithms and conventional algorithms for fixing the scheduling difficulties are supplied and in comparison with examples and simulations in sensible scenarios.

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Additional info for An Introduction to Optimal Satellite Range Scheduling

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We also present an extension of this algorithm for solving the general case, with variable durations for the requests and discretized time. Part III: Variants of Satellite Range Scheduling. In this part we provide three variants of the SRS problem: distributed, stochastic, and dynamic. • In Chap. 5: Noncooperative Satellite Range Scheduling we present a distributed formulation of the problem, where rather than providing a centralized schedule for the system, scheduling is performed at either the satellites or 6 1 Motivation the ground stations in a distributed fashion.

The progressive increase in the number of satellites and ground stations triggers a combinatorial explosion in the number of these intervals to be scheduled. For example, ESA’s Tracking Station Network (ESTRACK) had 30 satellites and 40 antennas in 2010 [1], NASA’s Deep Space Network (DSN) 35 satellites and 13 antennas (with 425 requests per week) in 2006 [2], and the Air Force Satellite Control Network (AFSCN) had 100 satellites and 16 antennas (with 500 requests per day) in 2006 [3]. Furthermore, some applications require taking into account uncertainty or dynamically introducing new tasks, which further complicates the problem.

J. D. Johnston, The Deep Space Network scheduling problem, in IAAI’05 Proceedings of the 17th Conference in Innovative Applications of Artificial Intelligence, 3 (AAAI, Palo Alto, CA, 2005), pp. 1514–1520 14. D. Johnston, D. Tran, B. Arroyo, S. Sorensen, P. Tay, B. Carruth, A. Coffman, M. Wallace, Automating mid- and long-range scheduling for NASA’s Deep Space Network, in SpaceOps 2012 (American Institute of Aeronautics and Astronautics, Reston, VA, 2012) 15. D. Johnston, D. Tran, Automated scheduling for NASA’s Deep Space Network, in 6th International Workshop on Planning and Scheduling in Space (Space Telescope Science Institute, Baltimore, MD, 2011) 16.

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