E-Book, Englisch, 208 Seiten
Oki Linear Programming and Algorithms for Communication Networks
1. Auflage 2012
ISBN: 978-1-4665-5264-7
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
A Practical Guide to Network Design, Control, and Management
E-Book, Englisch, 208 Seiten
ISBN: 978-1-4665-5264-7
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Explaining how to apply to mathematical programming to network design and control, Linear Programming and Algorithms for Communication Networks: A Practical Guide to Network Design, Control, and Management fills the gap between mathematical programming theory and its implementation in communication networks. From the basics all the way through to more advanced concepts, its comprehensive coverage provides readers with a solid foundation in mathematical programming for communication networks.
Addressing optimization problems for communication networks, including the shortest path problem, max flow problem, and minimum-cost flow problem, the book covers the fundamentals of linear programming and integer linear programming required to address a wide range of problems. It also:
- Examines several problems on finding disjoint paths for reliable communications
- Addresses optimization problems in optical wavelength-routed networks
- Describes several routing strategies for maximizing network utilization for various traffic-demand models
- Considers routing problems in Internet Protocol (IP) networks
- Presents mathematical puzzles that can be tackled by integer linear programming (ILP)
Using the GNU Linear Programming Kit (GLPK) package, which is designed for solving linear programming and mixed integer programming problems, it explains typical problems and provides solutions for communication networks. The book provides algorithms for these problems as well as helpful examples with demonstrations. Once you gain an understanding of how to solve LP problems for communication networks using the GLPK descriptions in this book, you will also be able to easily apply your knowledge to other solvers.
Zielgruppe
Telecommunication/networking professionals, R&D managers, software and hardware engineers, and system engineers. Senior and graduate students in electrical engineering, computer engineering, and computer science.
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
- Mathematik | Informatik Mathematik Operations Research
Weitere Infos & Material
Optimization Problems for Communications Networks
Shortest path problem
Max flow problem
Minimum-cost flow problem
Basics of Linear Programming
Optimization problem
Linear programming problem
Simplex method
Dual problem
Integer linear programming problem
GLPK (GNU Linear Programming Kit)
How to obtain GLPKand install it
Usage of GLPK
Basic Problems for Communication Networks
Shortest path problem Linear programming problem Dijkstra’s algorithm Bellman-Ford algorithm
Max flow problem Linear programming problem Ford-Fulkerson algorithm Max flow and minimum cut
Minimum-cost flow problem Linear programming problem Cycle-canceling algorithm
Relationship among three problems
Disjoint Path Routing
Basic disjoint path problem Integer linear programming problem Disjoint shortest pair algorithm Suurballe’s algorithm
Disjoint paths with shared risk link group Shared risk link group (SRLG) Integer linear programming Weight-SRLG algorithm
Disjoint paths in multi-cost networks Multi-cost networks Integer linear programming problem KPA: k-penalty with auxiliary link costs matrix KPI: k-penalty with initial link costs matrix Performance comparison of KPA and KPI
Optical Wavelength-Routed Network
Wavelength assignment problem
Graph coloring problem
Integer linear programming
Largest degree first
Routing and Traffic-Demand Model
Networkmodel
Pipemodel
Hosemodel
HSDT model
HLT model
IP Routing
Routing protocol
Link weights and routing Tabu search
Preventive start-time optimization (PSO) Three policies to determine link weights PSOmodel PSO-L PSO-W PSO-W algorithm based on tabu search
Performance of PSO-W
Mathematical Puzzles
Sudoku puzzle Overview Integer linear programming problem
River crossing puzzle Overview Integer linear programming approach Shortest path approach Comparison of two approaches
Lattice puzzle Overview Integer linear programming
A. Derivation of Eqs. (7.6a)–(7.6c) for hose model
B. Derivation of Eqs. (7.12a)–(7.12c) for HSDT model
C. Derivation of Eqs. (7.16a)–(7.16d) for HLT model
Answers to Exercises
Index




