Replication in Mobile Ad-hoc Network using Hopfield Network

Tanu Chawla

Replication in Mobile Ad-hoc Network using Hopfield Network

Tanu Chawla * §

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Dr. Mukesh Kumar

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§ The Technological Institute of Textile & Sciences

Replication in Mobile Ad-hoc Network using Hopfield Network

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Abstract

Mobile Ad hoc Network (MANET) is a network comprises of mobile nodes connected without any centralized administration. Each node in the network has the ability to share a large number of objects with other nodes. The nodes are connected with other nodes to forward a message to other nodes until the search for node that desire meets. This paper represents a new replication method to recover the performance in distributed system. Objects are replicated on different nodes in the network to minimize the search for an object. It is observed that mobility of nodes predicted using SOM (Self Organizing Maps) technique provides less accuracy. This paper represents an algorithm that uses the network parameters as input condition to replicate objects into the nodes. The decision for each node will be taken by gathering the input conditions and feed to the Hopfield Neural Network. It is view that it will provide more accuracy and improve the performance.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Tanu Chawla, Dr. Mukesh Kumar. 2013. "Replication in Mobile Ad-hoc Network using Hopfield Network". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 13 (GJCST Volume 13 Issue E15).

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GJCST Volume 13 Issue E15

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

hop field network Mobile Ad-Hoc Networks Neural networks replication routing Routing Protocols

Classification

GJCST-E Classification C.2.0

Submission ReceivedDecember 9, 2012
Peer Review Double Blind
Handling Editor
Accepted December 31, 2012
Published January 15, 2013

Version of record

v1.2

Issue date

December 7, 2013

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Tanu Chawla, Dr. Mukesh Kumar (PhD/Dr. count: 1)

View Count (all-time): 391

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Publish Date: 2013 01, Tue

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Total Views: 2.1K

Total Downloads: 162

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