CLUSTERING AND RECOVERY MECHANISM USING CHECK POINTING AND HIERARCHICAL APPROACH FOR MOBILE AD-HOC NETWORKS

May 2016
Vol-2, Issue-3
Paper ID: 2526
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Science
Keywords
Check pointing Cluster Recovery Fault tolerance Consistency etc.
Abstract
In ad hoc network we used the clustering technique for check pointing and recovery mechanism for fault tolerance which is helpful in increasing the lifetime and consistency of the network. In network we place checkpoints to keep network free from failures time to time. If the failure occur the rollback mechanism from checkpoints will occur which preserve the global consistency. In this paper we focus on the selection of cluster head which is used in the check pointing and recovery mechanism to remove faults and start work again quickly. The study and work on algorithms for check pointing for ad hoc network are going on from years. In this paper, the work is shown on clustering, recovery algorithm and security for the ad hoc networks. In this for cluster head selection we used the genetic algorithm so that we get optimized cluster head. Security issue is also very important. In this paper we also focus on the performance and security of the network by using cluster trust table for finding malicious node in the network. The simulation analysis shows that proposed algorithm increases the lifetime with better system performance by using checkpoints and clustering technique.

Author Information

# Name Institute / Affiliation
1 Vikas Kumar Bhagwant University, Ajmer
2 Prof. A.K. Solanki BIET, Jhansi Uttar Pradesh
3 Raghav Mehra Bhagwant University, Ajmer

How to Cite

Use the following formats to cite this article in your research.

APA Style
Kumar, Vikas, Solanki, Prof. A.K., & Mehra, Raghav (2016). CLUSTERING AND RECOVERY MECHANISM USING CHECK POINTING AND HIERARCHICAL APPROACH FOR MOBILE AD-HOC NETWORKS. International Journal of Advance Research and Innovative Ideas In Education, 2(3), 3048-3058.
MLA Style
Kumar, Vikas, et al. "CLUSTERING AND RECOVERY MECHANISM USING CHECK POINTING AND HIERARCHICAL APPROACH FOR MOBILE AD-HOC NETWORKS." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, 2016, pp. 3048-3058.
IEEE Style
Vikas Kumar, Prof. A.K. Solanki, and Raghav Mehra, "CLUSTERING AND RECOVERY MECHANISM USING CHECK POINTING AND HIERARCHICAL APPROACH FOR MOBILE AD-HOC NETWORKS," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, pp. 3048-3058, 2016.
Vancouver Style
Kumar Vikas, Solanki Prof. A.K., Mehra Raghav. CLUSTERING AND RECOVERY MECHANISM USING CHECK POINTING AND HIERARCHICAL APPROACH FOR MOBILE AD-HOC NETWORKS. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(3):3048-3058.
Harvard Style
Kumar, Vikas, Solanki, Prof. A.K., & Mehra, Raghav (2016) 'CLUSTERING AND RECOVERY MECHANISM USING CHECK POINTING AND HIERARCHICAL APPROACH FOR MOBILE AD-HOC NETWORKS', International Journal of Advance Research and Innovative Ideas In Education, 2(3), pp. 3048-3058.
Chicago Style
Kumar, Vikas, Prof. A.K. Solanki, and Raghav Mehra. "CLUSTERING AND RECOVERY MECHANISM USING CHECK POINTING AND HIERARCHICAL APPROACH FOR MOBILE AD-HOC NETWORKS." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 3048-3058.
Turabian Style
Kumar, Vikas, Prof. A.K. Solanki, and Raghav Mehra. "CLUSTERING AND RECOVERY MECHANISM USING CHECK POINTING AND HIERARCHICAL APPROACH FOR MOBILE AD-HOC NETWORKS." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 3048-3058.

Export Citation

Related Research

A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Vaibhav Ashok Bhangare et al. 2026 Computer Engineering
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
Vishakha Jadhav et al. 2026 Human Resource Management, Artificial Intelligence, Machine Learning, Payroll Systems, Cybersecurity, Business Intelligence, Robotic Process Automation, Employee Analytics, Digital Transforma
PDF Unavailable
Civic Engagement & Empowerment Platform
Supriya Dadaso Bankar et al. 2026 Computer engineering
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
Prof. Priyanka P. Kakade et al. 2026 Computer Engineering
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
Rohan Mulik et al. 2026 Computer Engineering
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
Kirti Datir et al. 2026 Computer Engineering
PDF Unavailable
Employee Performance Portal
P.Harika et al. 2026 Computer science and engineering
PDF Unavailable