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Performance Evaluation of Reactive Routing in Mobile Grid Environment

Performance Evaluation of Reactive Routing in Mobile Grid Environment

L. Shrivastava, G. S. Tomar, S. S. Bhadauria
Copyright: © 2011 |Volume: 3 |Issue: 3 |Pages: 9
ISSN: 1938-0259|EISSN: 1938-0267|EISBN13: 9781613507230|DOI: 10.4018/jghpc.2011070104
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MLA

Shrivastava, L., et al. "Performance Evaluation of Reactive Routing in Mobile Grid Environment." IJGHPC vol.3, no.3 2011: pp.45-53. http://doi.org/10.4018/jghpc.2011070104

APA

Shrivastava, L., Tomar, G. S., & Bhadauria, S. S. (2011). Performance Evaluation of Reactive Routing in Mobile Grid Environment. International Journal of Grid and High Performance Computing (IJGHPC), 3(3), 45-53. http://doi.org/10.4018/jghpc.2011070104

Chicago

Shrivastava, L., G. S. Tomar, and S. S. Bhadauria. "Performance Evaluation of Reactive Routing in Mobile Grid Environment," International Journal of Grid and High Performance Computing (IJGHPC) 3, no.3: 45-53. http://doi.org/10.4018/jghpc.2011070104

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Abstract

Grid computing came into existence as a manner of sharing heavy computational loads among multiple computers to be able to compute highly complex mathematical problems. The grid topology is highly flexible and easily scalable, allowing users to join and leave the grid without the hassle of time and resource-hungry identification procedures, having to adjust their devices or install additional software. The goal of grid computing is described as “to provide flexible, secure and coordinated resource sharing among dynamic collections of individuals, institutions and resources”. AODV is an on-demand (reactive) algorithm capable of both unicast and multicast routing. In this paper, AODV has been modified by varying some of the configuration parameters used in this algorithm to improve its performance. This modified protocol i.e. A-AODV (advanced ad hoc on demand distance vector) has been compared with AODV in grid environment. The simulations have shown that A-AODV is able to achieve high throughput and packet delivery ratio and average end-to-end delay is reduced.

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