E-Book, Englisch, 240 Seiten, E-Book
Dorronsoro / Ruiz / Danoy Evolutionary Algorithms for Mobile Ad Hoc Networks
1. Auflage 2014
ISBN: 978-1-118-83202-8
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: 0 - No protection
E-Book, Englisch, 240 Seiten, E-Book
Reihe: Nature-Inspired Computing Series
ISBN: 978-1-118-83202-8
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: 0 - No protection
Describes how evolutionary algorithms (EAs) can be used toidentify, model, and minimize day-to-day problems that arise forresearchers in optimization and mobile networking
Mobile ad hoc networks (MANETs), vehicular networks (VANETs),sensor networks (SNs), and hybrid networks--each of theserequire a designer's keen sense and knowledge of evolutionaryalgorithms in order to help with the common issues that plagueprofessionals involved in optimization and mobile networking.
This book introduces readers to both mobile ad hoc networks andevolutionary algorithms, presenting basic concepts as well asdetailed descriptions of each. It demonstrates how metaheuristicsand evolutionary algorithms (EAs) can be used to help providelow-cost operations in the optimization process--allowingdesigners to put some "intelligence" or sophisticationinto the design. It also offers efficient and accurate informationon dissemination algorithms, topology management, and mobilitymodels to address challenges in the field.
Evolutionary Algorithms for Mobile Ad Hoc Networks:
* Instructs on how to identify, model, and optimize solutions toproblems that arise in daily research
* Presents complete and up-to-date surveys on topics like networkand mobility simulators
* Provides sample problems along with solutions/descriptions usedto solve each, with performance comparisons
* Covers current, relevant issues in mobile networks, like energyuse, broadcasting performance, device mobility, and more
Evolutionary Algorithms for Mobile Ad Hoc Networks is anideal book for researchers and students involved in mobilenetworks, optimization, advanced search techniques, andmulti-objective optimization.