Evolutionary Algorithms for Mobile Ad Hoc Networks / Nature Inspired Computing Series (ePub)

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.