By Antonio Jose Vazquez Alvarez, Richard Scott Erwin
The satellite tv for pc variety scheduling (SRS) challenge, an enormous operations study challenge within the aerospace which includes allocating initiatives between satellites and Earth-bound items, is tested during this booklet. SRS rules and ideas are appropriate to many components, including:
- Satellite communications, the place projects are communique periods among units of satellites and flooring stations
- Earth commentary, the place initiatives are observations of spots in the world by means of satellites
- Sensor scheduling, the place projects are observations of satellites through sensors at the Earth.
This self-contained monograph starts with a based compendium of the matter and strikes directly to clarify the optimum method of the answer, together with elements from graph thought, set idea, video game conception and trust networks. This booklet is obtainable to scholars, pros and researchers in quite a few fields, together with: operations study, optimization, scheduling concept, dynamic programming and online game thought. Taking account of the dispensed, stochastic and dynamic versions of the matter, this e-book provides the optimum option to the fastened period SRS challenge and the way emigrate effects into extra advanced situations. Reference algorithms and standard 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
2 yields that discretized no-precedence SRS with a fixed number of ground stations and satellites is in polynomial class, since the discretized no-slack version is as well. 2 refer to decision versions of the problem, so that the optimization versions are NP-hard. Therefore, the satellite range scheduling problem can be solved in polynomial time if time is discretized, the number of satellites and ground stations is fixed and there are no-precedence constraints. 2). In this section we will provide further insight on the connections on more variants of the problem.
In Fig. 5 we show a feasible schedule, complying with the constraints specified in Fig. 4. Fig. 4 Scheduling requests (based on visibility windows from Fig. 3) Fig. 5 Final schedule (based on requests from Fig. 2 Scheduler Characteristics We describe the different kinds of schedulers that can be used to solve the problem, and which depend on additional constraints on the missions. Our classification involves three parameters generally used in existing literature: • Topology: the calculation of the schedule may be performed in a centralized fashion (that is, a single schedule is calculated based on the information from all the entities), or in a distributed fashion (different entities compute their associated schedules independently, without a coordinating entity).
Additionally, the operations plan may require one of the communications to be performed before another one. This constraint is known as precedence (imagine for example a relay network). Another constraint is that the communication may be required to be performed without interruptions, that is, with no preemption. And in some cases, two or more ground stations may communicate at the same time with the same satellite, which is known as redundancy or multiple (m-ary) capacity. Otherwise the problem has unitary capacity, and time-overlaying requests associated to either the same satellite or ground station are considered a conflict.