Analyse the Performance of Mobile Peer to Peer Network using Ant Colony Optimization

Article ID

CSTNWSR90IV

Analyse the Performance of Mobile Peer to Peer Network using Ant Colony Optimization

S.J.K. Jagadeesh Kumar
S.J.K. Jagadeesh Kumar
R.Saraswathi
R.Saraswathi
DOI

Abstract

A mobile peer-to-peer computer network is the one in which each computer in the network can act as a client or server for the other computers in the network. The communication process among the nodes in the mobile peer to peer network requires more no of messages. Due to this large number of messages passing, propose an interconnection structure called distributed Spanning Tree (DST) and it improves the efficiency of the mobile peer to peer network. The proposed method improves the data availability and consistency across the entire network and also reduces the data latency and the required number of message passes for any specific application in the network. Further to enhance the effectiveness of the proposed system, the DST network is optimized with the Ant Colony Optimization method. It gives the optimal solution of the DST method and increased availability, enhanced consistency and scalability of the network. The simulation results shows that reduces the number of message sent for any specific application and average delay and increases the packet delivery ratio in the network.

Analyse the Performance of Mobile Peer to Peer Network using Ant Colony Optimization

A mobile peer-to-peer computer network is the one in which each computer in the network can act as a client or server for the other computers in the network. The communication process among the nodes in the mobile peer to peer network requires more no of messages. Due to this large number of messages passing, propose an interconnection structure called distributed Spanning Tree (DST) and it improves the efficiency of the mobile peer to peer network. The proposed method improves the data availability and consistency across the entire network and also reduces the data latency and the required number of message passes for any specific application in the network. Further to enhance the effectiveness of the proposed system, the DST network is optimized with the Ant Colony Optimization method. It gives the optimal solution of the DST method and increased availability, enhanced consistency and scalability of the network. The simulation results shows that reduces the number of message sent for any specific application and average delay and increases the packet delivery ratio in the network.

S.J.K. Jagadeesh Kumar
S.J.K. Jagadeesh Kumar
R.Saraswathi
R.Saraswathi

No Figures found in article.

saraswathi. 2013. “. Global Journal of Computer Science and Technology – E: Network, Web & Security GJCST-E Volume 13 (GJCST Volume 13 Issue E8): .

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Issue Cover
GJCST Volume 13 Issue E8
Pg. 25- 31
Classification
Not Found
Article Matrices
Total Views: 9514
Total Downloads: 2437
2026 Trends
Research Identity (RIN)
Related Research
Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Analyse the Performance of Mobile Peer to Peer Network using Ant Colony Optimization

S.J.K. Jagadeesh Kumar
S.J.K. Jagadeesh Kumar
R.Saraswathi
R.Saraswathi

Research Journals