A Survey on the Application of Evolutionary Algorithms for Mobile Multihop Ad Hoc Network Optimization Problems | Zendy

Daniel Gutiérrez Reina | Zendy; Patricia Ruiz | Zendy; RaduIoan Ciobanu | Zendy; S. L. Toral | Zendy; Bernabé Dorronsoro | Zendy; Ciprian Dobre | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A Survey on the Application of Evolutionary Algorithms for Mobile Multihop Ad Hoc Network Optimization Problems

Author(s) -

Daniel Gutiérrez Reina,

Patricia Ruiz,

RaduIoan Ciobanu,

S. L. Toral,

Bernabé Dorronsoro,

Ciprian Dobre

Publication year - 2016

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1155/2016/2082496

Subject(s) - computer science , mobile ad hoc network , wireless ad hoc network , vehicular ad hoc network , computer network , distributed computing , evolutionary algorithm , optimized link state routing protocol , wireless , artificial intelligence , telecommunications , network packet

Evolutionary algorithms are metaheuristic algorithms that provide quasioptimal solutions in a reasonable time. They have been applied to many optimization problems in a high number of scientific areas. In this survey paper, we focus on the application of evolutionary algorithms to solve optimization problems related to a type of complex network like mobile multihop ad hoc networks. Since its origin, mobile multihop ad hoc network has evolved causing new types of multihop networks to appear such as vehicular ad hoc networks and delay tolerant networks, leading to the solution of new issues and optimization problems. In this survey, we review the main work presented for each type of mobile multihop ad hoc network and we also present some innovative ideas and open challenges to guide further research in this topic.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research