An Improvement of Data Replication in Mobile Ad-Hoc Network Databases

Shashank Srivastava*, Ashish Kumar Singh**, Udai Shanker***
* Faculty, Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Uttar Pradesh, India.
** Faculty, Department of Computer Science and Engineering, Kamla Nehru Institute of Technology, Uttar Pradesh, India.
*** Professor, Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Uttar Pradesh, India.
Periodicity:January - June'2017
DOI : https://doi.org/10.26634/jmt.4.1.13704

Abstract

Scalability is an important criterion which is not taken into consideration in the design of most Mobile Ad hoc Network (MANET) protocols. However, requirements of a scalable protocol are different from the ones for small or meso-scale networks. Therefore, MANET protocols exhibit poor performance when the network size is scaled up. Novel approaches that consider the requirements and performance bottlenecks of large-scale networks are needed to achieve better performance. Data replication, as one of the popular services in MANETs, is used to increase data availability by creating local or nearly located copies of frequently used items, reduce communication overhead, achieve fault-tolerance, and load balancing. Prior replication protocols proposed in the literature for MANETs are prone to the scalability problems due to their definitions and/or underlying routing protocols they are based on. In this work, the authors have proposed a data replication framework called extended DREAM. This data replication model considers all replication issues related to Mobile Ad-hoc Networks and provide better solutions to these issues compared to other data replication models available for MANETs.

Keywords

Replication, Replica, MANET, Client, Server, Extended DREAM

How to Cite this Article?

Srivastava, S., Singh, A.K., and Shanker, U. (2017). An Improvement of Data Replication in Mobile Ad-Hoc Network Databases. i-manager’s Journal on Mobile Applications and Technologies, 4(1), 19-29. https://doi.org/10.26634/jmt.4.1.13704

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