By Antonio Jose Vazquez Alvarez, Richard Scott Erwin
The satellite tv for pc diversity scheduling (SRS) challenge, a massive operations examine challenge within the aerospace such as allocating projects between satellites and Earth-bound items, is tested during this publication. SRS ideas and options are acceptable to many parts, including:
- Satellite communications, the place projects are communique periods among units of satellites and floor stations
- Earth statement, the place initiatives are observations of spots in the world via satellites
- Sensor scheduling, the place initiatives are observations of satellites via sensors at the Earth.
This self-contained monograph starts off with a established compendium of the matter and strikes directly to clarify the optimum method of the answer, such as elements from graph concept, set conception, video game thought and trust networks. This publication is obtainable to scholars, pros and researchers in a number of fields, together with: operations learn, optimization, scheduling concept, dynamic programming and video game concept. Taking account of the allotted, stochastic and dynamic editions of the matter, this publication offers the optimum way to the fastened period SRS challenge and the way emigrate effects into extra complicated situations. Reference algorithms and conventional algorithms for fixing the scheduling difficulties are supplied and in comparison with examples and simulations in functional scenarios.
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Extra info for An Introduction to Optimal Satellite Range Scheduling
1 Scheduling scenario Fig. 2 Scheduling process objective of the scheduler is to generate, from this set of requests, a schedule, which is a subset of these requests selected for execution. This process is illustrated in Fig. 2. 1 Scheduling Process 13 Fig. 3 Visibility windows The duration of the visibility windows will depend on the dynamics of the problem (orbits of the satellites and positions of the ground stations). For a low Earth orbit (LEO) satellite these durations may be of around 10 min at most.
T/ characterizes the (possibly time-varying) weight or priority (we use these two terms interchangeably) associated to that request, normalized between 0 and 1. 3 shows the release and due times, minimum and maximum duration, and priority of a request (function introduced in ), relating them with specific parameters like the maximum and minimum available data to be transmitted, the quality of the link, and the LOS acquisition and loss times. 4. Let J D fjj g be a set of N interaction (communication or sensing) requests.
Acknowledgements This research was performed while the author held a National Research Council Research Associateship Award at the Air Force Research Laboratory (AFRL). References 9 References 1. W. Heinen, M. Unal, Scheduling tool for ESTRACK ground station management, in SpaceOps 2010 (American Institute of Aeronautics and Astronautics, Reston, VA, 2010) 2. D. J. Clement, Automating Deep Space Network scheduling and conflict resolution, in Autonomous Agent and Multiagent Systems, AAMAS’06, ACM (2006) 3.