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


Scientific Essay, 2015

5 Pages


Abstract or Introduction

Mobile communication has enjoyed an incredible rise in quality throughout the last decade. Network dependability is most important concern in wireless Ad-hoc network. a serious challenge that lies in MANET (Mobile Ad-hoc network) is that the unlimited mobility and lots of frequent failure because of link breakage. Standard routing algorithms are insufficient for Ad-hoc networks. as a results of major drawback in MANET is limited power provide, dynamic networking. In MANET each node works as a router and autonomously performs mobile practicality. The link connectivity changes ceaselessly because of mobility to reflect this routing information additionally needs to get changed ceaselessly. AODV protocol is projected for this extraordinarily mobile network. In ancient AODV if any node fails in middle of transmission the method starts from the source node but in our propose scheme the transmission starts from the closest neighbor node therefore shows very important reduction in delay and improvement in packet delivery ratio are achieved. It also reduces the routing overhead by reducing the frequency of route discovery process.

Details

Title
A Reinforcement Learning Network based Novel Adaptive Routing Algorithm for Wireless Ad-Hoc Network
Author
Year
2015
Pages
5
Catalog Number
V293242
ISBN (eBook)
9783656904946
ISBN (Book)
9783656904953
File size
598 KB
Language
English
Keywords
reinforcement, learning, network, novel, adaptive, routing, algorithm, wireless, ad-hoc
Quote paper
Jagrut Solanki (Author), 2015, A Reinforcement Learning Network based Novel Adaptive Routing Algorithm for Wireless Ad-Hoc Network, Munich, GRIN Verlag, https://www.grin.com/document/293242

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