A Reinforcement Learning Network based Novel Adaptive Routing Algorithm for Wireless Ad-Hoc Network


Elaboration, 2014

6 Pages


Abstract or Introduction

A Wireless network is a collection of autonomous mobile nodes that communicate with each other over wireless links without any fixed infrastructure. It is a method by which homes, telecommunications networks and enterprise installations avoid the costly process of introducing cables into a building, or as a connection between various equipment locations. A routing protocol is taking a vital role in the modern Wireless Network. Mobile ad hoc network (MANET) is an autonomous system of mobile nodes connected by wireless links. Each node operates not only as an end system, but also as a router to forward packets .The nodes are free to move about and a network.A routing protocol which is responsible to determine how nodes communicate with each other and forward the packets through the optimal path to travel from a source node to a destination node. The purpose of paper is to contribute the study and comparison of routing protocols performance in MANET

Details

Title
A Reinforcement Learning Network based Novel Adaptive Routing Algorithm for Wireless Ad-Hoc Network
Author
Year
2014
Pages
6
Catalog Number
V286150
ISBN (eBook)
9783656863267
ISBN (Book)
9783656863274
File size
529 KB
Language
English
Keywords
reinforcement, learning, network, novel, adaptive, routing, algorithm, wireless, ad-hoc
Quote paper
Jagrut Solanki (Author), 2014, A Reinforcement Learning Network based Novel Adaptive Routing Algorithm for Wireless Ad-Hoc Network, Munich, GRIN Verlag, https://www.grin.com/document/286150

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