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.
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Produktdetaljer
ISBN
9781118832028
Publisert
2014
Utgave
1. utgave
Utgiver
Vendor
Wiley-Blackwell
Språk
Product language
Engelsk
Format
Product format
Digital bok
Antall sider
240
Forfatter