Evolutionary Algorithms for Mobile Ad Hoc Networks
()
Currently unavailable
Currently unavailable
About this ebook
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.
Related to Evolutionary Algorithms for Mobile Ad Hoc Networks
Titles in the series (3)
Bio-Inspired and Nanoscale Integrated Computing Rating: 0 out of 5 stars0 ratingsEvolutionary Algorithms for Mobile Ad Hoc Networks Rating: 0 out of 5 stars0 ratingsWireless Computing in Medicine: From Nano to Cloud with Ethical and Legal Implications Rating: 0 out of 5 stars0 ratings
Programming For You
Grokking Algorithms: An illustrated guide for programmers and other curious people Rating: 4 out of 5 stars4/5Learn to Code. Get a Job. The Ultimate Guide to Learning and Getting Hired as a Developer. Rating: 5 out of 5 stars5/5SQL: For Beginners: Your Guide To Easily Learn SQL Programming in 7 Days Rating: 5 out of 5 stars5/5Python: Learn Python in 24 Hours Rating: 4 out of 5 stars4/5Python Programming : How to Code Python Fast In Just 24 Hours With 7 Simple Steps Rating: 4 out of 5 stars4/5C++ Learn in 24 Hours Rating: 0 out of 5 stars0 ratingsCoding All-in-One For Dummies Rating: 4 out of 5 stars4/5HTML & CSS: Learn the Fundaments in 7 Days Rating: 4 out of 5 stars4/5SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL Rating: 4 out of 5 stars4/5Python QuickStart Guide: The Simplified Beginner's Guide to Python Programming Using Hands-On Projects and Real-World Applications Rating: 0 out of 5 stars0 ratingsPYTHON: Practical Python Programming For Beginners & Experts With Hands-on Project Rating: 5 out of 5 stars5/5Excel : The Ultimate Comprehensive Step-By-Step Guide to the Basics of Excel Programming: 1 Rating: 5 out of 5 stars5/5Linux Command Line and Shell Scripting Bible Rating: 3 out of 5 stars3/5Python Machine Learning By Example Rating: 4 out of 5 stars4/5The Little SAS Book: A Primer, Sixth Edition Rating: 5 out of 5 stars5/5Unreal Engine from Zero to Proficiency (Foundations): Unreal Engine from Zero to Proficiency, #1 Rating: 0 out of 5 stars0 ratingsPython Data Structures and Algorithms Rating: 5 out of 5 stars5/5Java for Beginners: A Crash Course to Learn Java Programming in 1 Week Rating: 5 out of 5 stars5/5Programming Arduino: Getting Started with Sketches Rating: 4 out of 5 stars4/5Learn SQL in 24 Hours Rating: 5 out of 5 stars5/5SQL All-in-One For Dummies Rating: 3 out of 5 stars3/5
Reviews for Evolutionary Algorithms for Mobile Ad Hoc Networks
0 ratings0 reviews