Items related to Genetic Algorithms for Topology Control Problems: Design...
Genetic Algorithms for Topology Control Problems: Design and Performance Analysis of Genetic Algorithms for Topology Control Problems - Softcover
This book present a bio-inspired topology control mechanism, force-based genetic algorithm (FGA), where a GA is run by each mobile node to achieve a uniform spread of nodes and to provide a fully connected network over an unknown area. We provide a formal analysis of FGA in terms of convergence speed, uniformity at area coverage, and Lyapunov stability theorem. This work also emphasizes the use of nodes to achieve a uniform distribution over an unknown terrain without a priori information. In contrast, each node running our FGA has to make its own movement direction and speed decisions based on local neighborhood information, such as obstacles and the number of neighbors, without a centralized control unit or global knowledge. The stochastic behavior of FGA makes it difficult to analyze its convergence speed. We built metrically transitive homogeneous and inhomogeneous Markov chain models to analyze the convergence of our FGA with respect to the communication ranges of mobile nodes and the total number of nodes in the system. The Dobrushin contraction coefficient of ergodicity is used for measuring convergence speed for the Markov chain models of our FGA.
"synopsis" may belong to another edition of this title.
About the Author:
Cem ?afak ?ahin, Ph.D.: received his BS degree from Gazi University, Turkey in 1996, MS degree from Middle East Technical University, Turkey in 2000, and MPhil. and Ph.D. degrees from the City University of New York, USA in 2010, all in Electrical Engineering. He is currently with the Strategic Analysis and Testing team at American Express.
"About this title" may belong to another edition of this title.
- PublisherLAP LAMBERT Academic Publishing
- Publication date2011
- ISBN 10 3844309020
- ISBN 13 9783844309027
- BindingPaperback
- Number of pages136
Buy New
Learn more about this copy
US$ 68.28
Shipping:
US$ 12.41
From United Kingdom to U.S.A.
Top Search Results from the AbeBooks Marketplace
Stock Image
Genetic Algorithms for Topology Control Problems
Published by
LAP Lambert Academic Publishing
(2011)
ISBN 10: 3844309020
ISBN 13: 9783844309027
New
Softcover
Quantity: > 20
Seller:
Rating
Book Description Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Seller Inventory # ria9783844309027_lsuk
Buy New
US$ 68.28
Convert currency
Stock Image
Genetic Algorithms for Topology Control Problems: Design and Performance Analysis of Genetic Algorithms for Topology Control Problems
Published by
LAP LAMBERT Academic Publishing
(2011)
ISBN 10: 3844309020
ISBN 13: 9783844309027
New
Softcover
Quantity: > 20
Seller:
Rating
Book Description Condition: New. Seller Inventory # ABLING22Oct2817100614257
Buy New
US$ 76.83
Convert currency
Stock Image
Genetic Algorithms for Topology Control Problems
Published by
LAP Lambert Academic Publishing 2011-02
(2011)
ISBN 10: 3844309020
ISBN 13: 9783844309027
New
PF
Quantity: 10
Seller:
Rating
Book Description PF. Condition: New. Seller Inventory # 6666-IUK-9783844309027
Buy New
US$ 62.82
Convert currency
Stock Image
Genetic Algorithms for Topology Control Problems Design and Performance Analysis of Genetic Algorithms for Topology Control Problems
Published by
LAP LAMBERT Academic Publishing
(2011)
ISBN 10: 3844309020
ISBN 13: 9783844309027
New
PAP
Quantity: > 20
Seller:
Rating
Book Description PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9783844309027
Buy New
US$ 88.56
Convert currency
Seller Image
Genetic Algorithms for Topology Control Problems
Published by
LAP LAMBERT Academic Publishing Feb 2011
(2011)
ISBN 10: 3844309020
ISBN 13: 9783844309027
New
Taschenbuch
Quantity: 2
Seller:
Rating
Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book present a bio-inspired topology control mechanism, force-based genetic algorithm (FGA), where a GA is run by each mobile node to achieve a uniform spread of nodes and to provide a fully connected network over an unknown area. We provide a formal analysis of FGA in terms of convergence speed, uniformity at area coverage, and Lyapunov stability theorem. This work also emphasizes the use of nodes to achieve a uniform distribution over an unknown terrain without a priori information. In contrast, each node running our FGA has to make its own movement direction and speed decisions based on local neighborhood information, such as obstacles and the number of neighbors, without a centralized control unit or global knowledge. The stochastic behavior of FGA makes it difficult to analyze its convergence speed. We built metrically transitive homogeneous and inhomogeneous Markov chain models to analyze the convergence of our FGA with respect to the communication ranges of mobile nodes and the total number of nodes in the system. The Dobrushin contraction coefficient of ergodicity is used for measuring convergence speed for the Markov chain models of our FGA. 136 pp. Englisch. Seller Inventory # 9783844309027
Buy New
US$ 64.68
Convert currency
Seller Image
Genetic Algorithms for Topology Control Problems : Design and Performance Analysis of Genetic Algorithms for Topology Control Problems
Published by
LAP LAMBERT Academic Publishing
(2011)
ISBN 10: 3844309020
ISBN 13: 9783844309027
New
Taschenbuch
Quantity: 1
Seller:
Rating
Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book present a bio-inspired topology control mechanism, force-based genetic algorithm (FGA), where a GA is run by each mobile node to achieve a uniform spread of nodes and to provide a fully connected network over an unknown area. We provide a formal analysis of FGA in terms of convergence speed, uniformity at area coverage, and Lyapunov stability theorem. This work also emphasizes the use of nodes to achieve a uniform distribution over an unknown terrain without a priori information. In contrast, each node running our FGA has to make its own movement direction and speed decisions based on local neighborhood information, such as obstacles and the number of neighbors, without a centralized control unit or global knowledge. The stochastic behavior of FGA makes it difficult to analyze its convergence speed. We built metrically transitive homogeneous and inhomogeneous Markov chain models to analyze the convergence of our FGA with respect to the communication ranges of mobile nodes and the total number of nodes in the system. The Dobrushin contraction coefficient of ergodicity is used for measuring convergence speed for the Markov chain models of our FGA. Seller Inventory # 9783844309027
Buy New
US$ 64.68
Convert currency
Stock Image
Genetic Algorithms for Topology Control Problems Design and Performance Analysis of Genetic Algorithms for Topology Control Problems
Published by
LAP LAMBERT Academic Publishing
(2011)
ISBN 10: 3844309020
ISBN 13: 9783844309027
New
PAP
Quantity: > 20
Seller:
Rating
Book Description PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9783844309027
Buy New
US$ 69.58
Convert currency
Seller Image
Genetic Algorithms for Topology Control Problems
Published by
LAP LAMBERT Academic Publishing
(2011)
ISBN 10: 3844309020
ISBN 13: 9783844309027
New
Softcover
Quantity: > 20
Seller:
Rating
Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sahin CemCem Safak Sahin, Ph.D.: received his BS degree from Gazi University, Turkey in 1996, MS degree from Middle East Technical University, Turkey in 2000, and MPhil. and Ph.D. degrees from the City University of New York, USA . Seller Inventory # 5471385
Buy New
US$ 53.17
Convert currency