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Go to shop › Computer Science - Technical Computer Science

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

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

Elaboration , 2014 , 6 Pages

Autor:in: Jagrut Solanki (Author)

Computer Science - Technical Computer Science

Excerpt & Details   Look inside the ebook
Summary Excerpt Details

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

Excerpt


Inhaltsverzeichnis (Table of Contents)

  • Abstract
  • Introduction
  • OVERVIEW OF VARIOUS ON-DEMAND ROUTING PROTOCOLS
    • Table Driven (proactive) Routing Protocol
    • DSDV
    • On-Demand (Reactive) Routing Protocol
    • AODV
    • DSR
    • Hybrid Routing Protocols
    • ZRP
  • COMPARISON OF ROUTING PROTOCOLS
  • CONCLUSION

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This paper aims to contribute to the study and comparison of routing protocols' performance in Mobile Ad Hoc Networks (MANETs). The paper explores the challenges of routing in MANETs, particularly the impact of node mobility on network topology. It analyzes various routing protocols, including both proactive and reactive approaches, to understand their strengths and limitations. Key themes and main ideas from the text include:
  • The importance of wireless networks in the computing industry and the growing need for mobile connectivity.
  • The characteristics of MANETs, including their self-configuring nature and the challenges posed by node mobility.
  • The different categories of routing protocols, specifically proactive, reactive, and hybrid approaches.
  • The analysis and comparison of specific routing protocols like AODV, DSDV, DSR, and ZRP.
  • The evaluation of routing protocols based on factors such as overhead, packet delivery fraction, and adaptability to various network scenarios.

Zusammenfassung der Kapitel (Chapter Summaries)

  • **Abstract**: Briefly outlines the paper's focus on routing in wireless ad hoc networks, highlighting the importance of routing protocols and the aim to compare their performance in MANETs.
  • **Introduction**: Discusses the significance of wireless networks in the computing industry, emphasizing the growing demand for mobility. It differentiates between infrastructure-based and ad-hoc networks, explaining the characteristics and challenges of MANETs, particularly the impact of node mobility.
  • **OVERVIEW OF VARIOUS ON-DEMAND ROUTING PROTOCOLS**: Presents a categorization of routing protocols, separating them into table-driven (proactive), on-demand (reactive), and hybrid approaches. It provides a brief overview of each category and the key differences between them.
    • **Table Driven (proactive) Routing Protocol**: Explains the principles of proactive routing protocols, where routing information is constantly maintained and updated to reflect changes in the network topology. It introduces DSDV as a prominent example of a proactive routing protocol.
    • **DSDV**: Describes the Destination Sequenced Distance Vector (DSDV) protocol, highlighting its proactive nature and how it manages routing information through routing tables and sequence numbers.
    • **On-Demand (Reactive) Routing Protocol**: Discusses the concept of on-demand routing, where routes are created and maintained only when needed. It explains the rationale behind on-demand protocols, such as reducing control overhead, conserving power, and maximizing bandwidth.
    • **AODV**: Explains the Ad Hoc On-Demand Distance Vector (AODV) protocol, detailing its reactive approach to routing and the mechanisms used for route discovery and maintenance. It describes the use of route request (RREQ) and route reply (RREP) packets.
    • **DSR**: Presents the Dynamic Source Routing (DSR) protocol, emphasizing its entirely on-demand nature and its source routing approach. It discusses the advantages and disadvantages of source routing.
    • **Hybrid Routing Protocols**: Briefly introduces the concept of hybrid routing protocols, which combine features of both proactive and reactive protocols. It highlights Zone Routing Protocol (ZRP) as a notable example.
    • **ZRP**: Explains the Zone Routing Protocol (ZRP), focusing on its approach of using proactive routing within a defined zone and reactive routing outside of the zone. It mentions the Interzone Routing Protocol (IERP) used for discovering routes outside the zone.
  • **COMPARISON OF ROUTING PROTOCOLS**: Presents a comparative analysis of different routing protocols, examining their strengths and weaknesses based on factors like overhead, packet delivery fraction, and adaptability to various network scenarios.

Schlüsselwörter (Keywords)

The keywords and focus topics of this text revolve around wireless networks, routing protocols, and their performance in mobile ad hoc networks (MANETs). Key terms include: wireless, routing protocol, AODV, DSDV, DSR, ZRP, MANET, node mobility, proactive, reactive, hybrid, overhead, packet delivery fraction, network topology.
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Details

Title
A Reinforcement Learning Network based Novel Adaptive Routing Algorithm for Wireless Ad-Hoc Network
Author
Jagrut Solanki (Author)
Publication Year
2014
Pages
6
Catalog Number
V286150
ISBN (eBook)
9783656863267
ISBN (Book)
9783656863274
Language
English
Tags
reinforcement learning network novel adaptive routing algorithm wireless ad-hoc
Product Safety
GRIN Publishing GmbH
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.hausarbeiten.de/document/286150
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Excerpt from  6  pages
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