Replication in Mobile Ad-hoc Network using Hopfield Network

§ The Technological Institute of Textile & Sciences

Send Message

To: Author

Replication in Mobile Ad-hoc Network using Hopfield Network

Article Fingerprint

ReserarchID

CST5MCFK

Replication in Mobile Ad-hoc Network using Hopfield Network Banner

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu
Reading Preferences
Font Size
Line Spacing
Background
This converted HTML version may contain rendering inconsistencies. Please refer to the PDF for the authoritative version, or click here to provide feedback.

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

25 Cites in Article
  1. 1. Che-Yu Liu,Isaac Woungang,Han-Chief Chao,Sanjay Dhurandher,Ting-Yun,Mohammad Chi,Obaidat (2011). Security of Message in Multi-Path Ad Hoc Networks Using a Neural Network-Based Cipher. Security of Message in Multi-Path Ad Hoc Networks Using a Neural Network-Based Cipher
  2. 2. T Dyer,R Boppana (2008). Routing HTTP traffic in a mobile ad hoc network. MILCOM 2002. Proceedings, 2, 958-963.
  3. 3. P Mukilan,A Wahi (2012). CDRA: Consistency based Data Replication Algorithm of MANET. International Journal of Computer Applications, 51(14)
  4. 4. Heni Kaaniche,Farouk Kamoun (1989). Mobility Prediction in Wireless Ad Hoc Networks using Neural Networks. Journal of Telecommunications, 2(5)
  5. 5. Robert Dr,Hecht-Nielsen A Basic Introduction to Neural Network. A Basic Introduction to Neural Network
  6. 6. Marius Christian,Mazilu (2010). Replication Control.
  7. 7. Matthias Wiesmann,Fernando Pedone,Andre Schiper,Bettina Kemme,Gustav Alonso (2010). Database replication techniques: a three parameter classification. Proceedings 19th IEEE Symposium on Reliable Distributed Systems SRDS-2000, 206-215.
  8. 8. K Ani1,Jianchang Jain,K Mao,Mohiuddinn (1996). Artificial Neural Network. Artificial Neural Network
  9. 9. Yoshua Hugo Larochelle,Jerome Bengio,Pascal Louradour,Lamblin (2009). Exploring Strategies for Training Deep Neural Networks. Journal of Machine Learning Research
  10. 10. Carlos Baladrón,Javier Aguiar,Lorena Calavia,Belén Carro,Antonio Sánchez-Esguevillas,Luis Hernández (2012). Performance Study of the Application of Artificial Neural Networks to the Completion and Prediction of Data Retrieved by Underwater Sensors. Sensors, 12(2), 1468-1481.
  11. 11. Frank-Florian Steege,Horst-Michael Groß (2012). Comparison of Long-Term Adaptivity for Neural Networks. Lecture Notes in Computer Science, 50-57.
  12. 12. Jorg Vorgelegt Von,Aus Hahner,Dusseldorf (2007). Consistent Data Replication in Mobile Ad Hoc Networks. Consistent Data Replication in Mobile Ad Hoc Networks
  13. 13. Cantara Geofrey,Yoshiyori Soriano,Urano (2011). Replication with State Using the Self-Organizing Map Neural Network. Replication with State Using the Self-Organizing Map Neural Network
  14. 14. M Pushpalatha,Revathi Venkataraman,T Ramarao (2009). Energy Aware Data Sharing in Mobile Ad Hoc Networks. Communications in Computer and Information Science, 1, 378-387.
  15. 15. Samir Das,Robert Castañeda,Jiangtao Yan (2000). Simulation‐based performance evaluation of routing protocols for mobile ad hoc networks. Mobile Networks and Applications, 5(3), 179-189.
  16. 16. Rekha Patil,A Damodaram,Rupam Das (2009). Cross layer AODV with Position based forwarding routing for mobile adhoc network. 2009 Fifth International Conference on Wireless Communication and Sensor Networks (WCSN), 1-6.
  17. 17. S.-J Lee,M Gerla (2001). Dynamic load-aware routing in ad hoc networks. Proc. of IEEE International Conference on Communications, 3206-3210.
  18. 18. (2005). The NS Manual Formerly NS Document. The NS Manual Formerly NS Document
  19. 19. Mueen Uddin,Azizah Abdul Rahman,Abdulrahman Alarifi,Muhammad Talha,Asadullah Shah,Mohsin Iftikhar,Albert Zomaya (2012). Improving Performance of Mobile Ad Hoc Networks Using Efficient Tactical on Demand Distance Vector (TAODV) Routing Algorithm. International Journal of Innovative Computing, Information and Control, 8(6)
  20. 20. Pravin Ghosekar,Girish Katkar,Dr Ghorpade (2010). Mobile Ad Hoc Networking: Imperatives and Challenges. IJCA Special Issue on Mobile Ad-hoc Network
  21. 21. C Bisdikian (2001). An overview of the Bluetooth wireless technology. IEEE Communications Magazine, 39(12), 86-94.
  22. 22. Josh Broch,David Maltz,David Johnson,Yih-Chun Hu,Jorjeta Jetcheva (1998). A performance comparison of multi-hop wireless ad hoc network routing protocols. Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking, 85-97.
  23. 23. P Sinha,R Sivakumar,V Bharghavan CEDAR: a Core-Extraction Distributed Ad hoc Routing algorithm. IEEE INFOCOM'99
  24. 24. E Royer,Chai-Keong Toh (1999). A review of current routing protocols for ad hoc mobile wireless networks. IEEE Personal Communications, 6(2), 46-55.
  25. 25. V Park,M Corson (1997). A highly adaptive distributed routing algorithm for mobile wireless networks. Proceedings of INFOCOM '97, 3, 1405-1413.

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).

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST-E Classification C.2.0
Version of record

v1.2

Issue date
December 7, 2013

Language
English
Order Article Reprint
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.

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.

Article Matrices
Total Views: 2.1K
Total Downloads: 162
All Trends

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

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.

Replication in Mobile Ad-hoc Network using Hopfield Network

Tanu Chawla
Tanu Chawla The Technological Institute of Textile & Sciences