Evolutionary Algorithms for Mobile Ad Hoc Networks:
Describes how evolutionary algorithms (EAs) can be used to identify, model, and minimize day-to-day problems that arise for researchers in optimization and mobile networking Mobile ad hoc networks (MANETs), vehicular networks (VANETs), sensor networks (SNs), and hybrid networks-each of these require...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Somerset
Wiley
2014
|
| Ausgabe: | 1st ed |
| Schriftenreihe: | Nature-Inspired Computing Series
|
| Schlagworte: | |
| Zusammenfassung: | Describes how evolutionary algorithms (EAs) can be used to identify, model, and minimize day-to-day problems that arise for researchers in optimization and mobile networking Mobile ad hoc networks (MANETs), vehicular networks (VANETs), sensor networks (SNs), and hybrid networks-each of these require a designer's keen sense and knowledge of evolutionary algorithms in order to help with the common issues that plague professionals involved in optimization and mobile networking. This book introduces readers to both mobile ad hoc networks and evolutionary algorithms, presenting basic concepts as well as detailed descriptions of each. It demonstrates how metaheuristics and evolutionary algorithms (EAs) can be used to help provide low-cost operations in the optimization process-allowing designers to put some "intelligence" or sophistication into the design. It also offers efficient and accurate information on dissemination algorithms, topology management, and mobility models to address challenges in the field. Evolutionary Algorithms for Mobile Ad Hoc Networks: Instructs on how to identify, model, and optimize solutions to problems that arise in daily research Presents complete and up-to-date surveys on topics like network and mobility simulators Provides sample problems along with solutions/descriptions used to solve each, with performance comparisons Covers current, relevant issues in mobile networks, like energy use, broadcasting performance, device mobility, and more Evolutionary Algorithms for Mobile Ad Hoc Networks is an ideal book for researchers and students involved in mobile networks, optimization, advanced search techniques, and multi-objective optimization |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 online resource (238 pages) |
| ISBN: | 9781118832011 9781118341131 |
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| author | Dorronsoro, Bernabé |
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| dewey-full | 621.382/1201519625 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
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| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| edition | 1st ed |
| format | Electronic eBook |
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| id | DE-604.BV043608788 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:30:52Z |
| institution | BVB |
| isbn | 9781118832011 9781118341131 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029022847 |
| oclc_num | 876514078 |
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| physical | 1 online resource (238 pages) |
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| publishDate | 2014 |
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| publisher | Wiley |
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| series2 | Nature-Inspired Computing Series |
| spelling | Dorronsoro, Bernabé Verfasser aut Evolutionary Algorithms for Mobile Ad Hoc Networks 1st ed Somerset Wiley 2014 © 2014 1 online resource (238 pages) txt rdacontent c rdamedia cr rdacarrier Nature-Inspired Computing Series Description based on publisher supplied metadata and other sources Describes how evolutionary algorithms (EAs) can be used to identify, model, and minimize day-to-day problems that arise for researchers in optimization and mobile networking Mobile ad hoc networks (MANETs), vehicular networks (VANETs), sensor networks (SNs), and hybrid networks-each of these require a designer's keen sense and knowledge of evolutionary algorithms in order to help with the common issues that plague professionals involved in optimization and mobile networking. This book introduces readers to both mobile ad hoc networks and evolutionary algorithms, presenting basic concepts as well as detailed descriptions of each. It demonstrates how metaheuristics and evolutionary algorithms (EAs) can be used to help provide low-cost operations in the optimization process-allowing designers to put some "intelligence" or sophistication into the design. It also offers efficient and accurate information on dissemination algorithms, topology management, and mobility models to address challenges in the field. Evolutionary Algorithms for Mobile Ad Hoc Networks: Instructs on how to identify, model, and optimize solutions to problems that arise in daily research Presents complete and up-to-date surveys on topics like network and mobility simulators Provides sample problems along with solutions/descriptions used to solve each, with performance comparisons Covers current, relevant issues in mobile networks, like energy use, broadcasting performance, device mobility, and more Evolutionary Algorithms for Mobile Ad Hoc Networks is an ideal book for researchers and students involved in mobile networks, optimization, advanced search techniques, and multi-objective optimization Evolutionary computation Genetic algorithms Mobile communication systems Ruiz, Patricia Sonstige oth Danoy, Grégoire Sonstige oth Pigne, Yoann Sonstige oth Erscheint auch als Druck-Ausgabe Dorronsoro, Bernabé Evolutionary Algorithms for Mobile Ad Hoc Networks |
| spellingShingle | Dorronsoro, Bernabé Evolutionary Algorithms for Mobile Ad Hoc Networks Evolutionary computation Genetic algorithms Mobile communication systems |
| title | Evolutionary Algorithms for Mobile Ad Hoc Networks |
| title_auth | Evolutionary Algorithms for Mobile Ad Hoc Networks |
| title_exact_search | Evolutionary Algorithms for Mobile Ad Hoc Networks |
| title_full | Evolutionary Algorithms for Mobile Ad Hoc Networks |
| title_fullStr | Evolutionary Algorithms for Mobile Ad Hoc Networks |
| title_full_unstemmed | Evolutionary Algorithms for Mobile Ad Hoc Networks |
| title_short | Evolutionary Algorithms for Mobile Ad Hoc Networks |
| title_sort | evolutionary algorithms for mobile ad hoc networks |
| topic | Evolutionary computation Genetic algorithms Mobile communication systems |
| topic_facet | Evolutionary computation Genetic algorithms Mobile communication systems |
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