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

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

saraswathi

Contact

S.J.K. Jagadeesh Kumar

Contact

R.Saraswathi

Contact

Anna University, Chennai

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

Article Fingerprint

ReserarchID

CSTNWSR90IV

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

AI TAKEAWAY

Connecting with the Eternal Ground

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.

References

22 Cites in Article

Reference Format

Feng Jie,Lisong Xu,Byrav Ramamurthy (2009). Overlay construction in mobile peer-to-peer networks.
H Frank,Hassan Fitzek,Charaf (2009). Mobile peer-topeer networks: An Introduction to the Tutorial Guide.
Mobile peer-to-peer systems: overview, issues and potential usages.
A Helal,A Heddaya,B Bhargava (1996). Replication Techniques in Distributed Systems.
B Ciciani,D Dias,P Yu (1990). Analysis of replication in distributed database systems.
Takahiro Hara,S Madria (2009). Consistency Management Strategies for Data Replication in Mobile Ad Hoc Networks.
San-Yih Hwang,Keith Lee,Y Chin (1996). Data replication in a distributed system: A performance study.
Ren Xun-Yi,Wang Ru-Chuan,Kong Qiang (2008). Efficient model for replica consistency maintenance in data grids.
Chao-Tung Yang,Chun-Pin Fu,Ching-Hsien Hsu (2009). File replication, maintenance, and consistency management services in data grids.
R Rahman,K Barker,R Alhajj Replica placement design with static optimality and dynamic maintainability.
S Park,J Kim,Y Ko,S Yoon,W (2003). Dynamic data grid replication strategy based on internet hierarchy.
Haiying Shen (2010). IRM: Integrated File Replication and Consistency Maintenance in P2P Systems.
Jun Luo,Jean-Pierre Hubaux,Patrick Eugster (2003). PAN.
A Datta,M Hauswirth,K Aberer (2003). Updates in highly unreliable,replicated peer-to-peer systems.
Xin Sun,Kan Li,Yushu Liu (2009). An Efficient Replica Location Method in Hierarchical P2P Networks.
Xin Sun,Jun Zheng,Qiongxin Liu,Yushu Liu (2009). Dynamic Data Replication Based on Access Cost in Distributed Systems.
Wanlei Zhou,Holmes (1999). The design and simulation of a hybrid replication control protocol" proc in.
Feras Hanandeh,Mutaz (2012). CFS: A New Dynamic Replication strategy for Data grids.
R Baskaran,P Victer Paul,P Dhavachelvan (2012). Algorithm and direction for analysis of Global Replica Management in P2P network.
Sylvain Dahan,Laurent Philippe,J-M Nicod (2009). The Distributed Spanning Tree Structure.
Sylvain Dahan (2005). Distributed Spanning Tree Algorithms for Large Scale Traversals.
Xin Sun,Kan Li,Yushu Liu (2009). An Efficient Replica Location Method in Hierarchical P2P Networks.

Download References

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

saraswathi. 2013. \u201cAnalyse the Performance of Mobile Peer to Peer Network using Ant Colony Optimization\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 13 (GJCST Volume 13 Issue E8): .

More Citation Formats

Select Citation Style:

Download Citation

Download Article

GJCST Volume 13 Issue E8
Pg. 25- 31

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

ACO distributed spanning tree global replica management LRM mobile peer to peer network ORCS

Submission ReceivedDecember 14, 2012
Peer Review Double Blind
Handling Editor
Accepted January 2, 2013
Published January 15, 2013

Version of record

v1.2

Issue date

June 20, 2013

Language

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security

Authors: S.J.K. Jagadeesh Kumar, R.Saraswathi (PhD/Dr. count: 0)

View Count (all-time): 270

Total Views (Real + Logic): 9603

Total Downloads (simulated): 2490

Publish Date: 2013 06, Thu

Monthly Totals (Real + Logic):

Month 1: 50 views
Month 2: 18 views
Month 3: 48 views
Month 4: 22 views
Month 5: 57 views
Month 6: 44 views
Month 7: 31 views
Month 8: 33 views
Month 9: 34 views
Month 10: 32 views
Month 11: 49 views
Month 12: 39 views
Month 13: 11 views
Month 14: 24 views
Month 15: 35 views
Month 16: 41 views
Month 17: 38 views
Month 18: 23 views
Month 19: 19 views
Month 20: 35 views
Month 21: 34 views
Month 22: 11 views
Month 23: 28 views
Month 24: 41 views
Month 25: 23 views
Month 26: 29 views
Month 27: 38 views
Month 28: 41 views
Month 29: 30 views
Month 30: 34 views
Month 31: 15 views
Month 32: 43 views
Month 33: 17 views
Month 34: 27 views
Month 35: 27 views
Month 36: 32 views
Month 37: 18 views
Month 38: 19 views
Month 39: 38 views
Month 40: 40 views
Month 41: 41 views
Month 42: 30 views
Month 43: 29 views
Month 44: 24 views
Month 45: 22 views
Month 46: 36 views
Month 47: 47 views
Month 48: 31 views
Month 49: 34 views
Month 50: 23 views
Month 51: 30 views
Month 52: 35 views
Month 53: 30 views
Month 54: 33 views
Month 55: 38 views
Month 56: 30 views
Month 57: 24 views
Month 58: 39 views
Month 59: 29 views
Month 60: 27 views
Month 61: 31 views
Month 62: 41 views
Month 63: 31 views
Month 64: 36 views
Month 65: 36 views
Month 66: 14 views
Month 67: 16 views
Month 68: 24 views
Month 69: 40 views
Month 70: 31 views
Month 71: 40 views
Month 72: 19 views
Month 73: 36 views
Month 74: 30 views
Month 75: 32 views
Month 76: 25 views
Month 77: 41 views
Month 78: 28 views
Month 79: 43 views
Month 80: 46 views
Month 81: 40 views
Month 82: 26 views
Month 83: 17 views
Month 84: 18 views
Month 85: 19 views
Month 86: 41 views
Month 87: 31 views
Month 88: 40 views
Month 89: 20 views
Month 90: 39 views
Month 91: 35 views
Month 92: 26 views
Month 93: 47 views
Month 94: 27 views
Month 95: 30 views
Month 96: 48 views
Month 97: 28 views
Month 98: 22 views
Month 99: 23 views
Month 100: 20 views
Month 101: 35 views
Month 102: 19 views
Month 103: 16 views
Month 104: 19 views
Month 105: 38 views
Month 106: 32 views
Month 107: 22 views
Month 108: 38 views
Month 109: 20 views
Month 110: 28 views
Month 111: 32 views
Month 112: 25 views
Month 113: 32 views
Month 114: 44 views
Month 115: 37 views
Month 116: 30 views
Month 117: 34 views
Month 118: 26 views
Month 119: 34 views
Month 120: 30 views
Month 121: 45 views
Month 122: 26 views
Month 123: 25 views
Month 124: 19 views
Month 125: 30 views
Month 126: 24 views
Month 127: 29 views
Month 128: 38 views
Month 129: 22 views
Month 130: 30 views
Month 131: 29 views
Month 132: 17 views
Month 133: 23 views
Month 134: 38 views
Month 135: 27 views
Month 136: 36 views
Month 137: 35 views
Month 138: 40 views
Month 139: 23 views
Month 140: 41 views
Month 141: 17 views
Month 142: 43 views
Month 143: 24 views
Month 144: 24 views
Month 145: 27 views
Month 146: 21 views
Month 147: 51 views
Month 148: 42 views
Month 149: 44 views
Month 150: 24 views
Month 151: 22 views
Month 152: 28 views
Month 153: 69 views
Month 154: 43 views
Month 155: 42 views

Total Views: 9603

Total Downloads: 2490

2026 Trends

Published Article

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]