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Izvorni znanstveni članak
https://doi.org/10.20532/cit.2016.1002643

A New QoS-Aware Routing Protocol for MANET Using Artificial Neural Network

Prakash Srivastava ; Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, Uttar Pradesh, India
Rakesh Kumar ; Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, Uttar Pradesh, India

Puni tekst: engleski, pdf (516 KB) str. 221-235 preuzimanja: 523* citiraj
APA 6th Edition
Srivastava, P. i Kumar, R. (2016). A New QoS-Aware Routing Protocol for MANET Using Artificial Neural Network. Journal of computing and information technology, 24 (3), 221-235. https://doi.org/10.20532/cit.2016.1002643
MLA 8th Edition
Srivastava, Prakash i Rakesh Kumar. "A New QoS-Aware Routing Protocol for MANET Using Artificial Neural Network." Journal of computing and information technology, vol. 24, br. 3, 2016, str. 221-235. https://doi.org/10.20532/cit.2016.1002643. Citirano 07.03.2021.
Chicago 17th Edition
Srivastava, Prakash i Rakesh Kumar. "A New QoS-Aware Routing Protocol for MANET Using Artificial Neural Network." Journal of computing and information technology 24, br. 3 (2016): 221-235. https://doi.org/10.20532/cit.2016.1002643
Harvard
Srivastava, P., i Kumar, R. (2016). 'A New QoS-Aware Routing Protocol for MANET Using Artificial Neural Network', Journal of computing and information technology, 24(3), str. 221-235. https://doi.org/10.20532/cit.2016.1002643
Vancouver
Srivastava P, Kumar R. A New QoS-Aware Routing Protocol for MANET Using Artificial Neural Network. Journal of computing and information technology [Internet]. 2016 [pristupljeno 07.03.2021.];24(3):221-235. https://doi.org/10.20532/cit.2016.1002643
IEEE
P. Srivastava i R. Kumar, "A New QoS-Aware Routing Protocol for MANET Using Artificial Neural Network", Journal of computing and information technology, vol.24, br. 3, str. 221-235, 2016. [Online]. https://doi.org/10.20532/cit.2016.1002643

Sažetak
The explosive growth of Internet leads to increased diversity of applications. Multimedia applications, which are delay sensitive and include telephony, videoconferencing etc. can benefit from this approach to satisfy their QoS routing requirement. Existing route
discovery involves estimation of delay at every mobile node which involves calculation of queueing delay as well as contention delay. However, it is a complex procedure but it is required in fulfilling QoS routing requirements in MANET. Artificial neural networks are emerging as a promising technology which can be applied in networking field, simulating human mind in learning from experiences.We have utilized the capability of artificial neural networks (ANN) for accurate prediction of end-to-end packet delay in MANET. Existing link failure strategy involves frequent route discoveries which incur high routing overhead and increased end-to-end delay. In this paper, efficient link failure recovery is also incorporated by utilizing multiple alternate paths in case of link failure, which is determined through signal intensity level and link expiration metric to provide link failure prediction before
it breaks up.The proposed methodology has been implemented in a computer simulation. Results show that our approach has been found outperforming to existing approaches and has the potential to be applied in real world scenarios.

Ključne riječi
MANET; QoS routing; neural networks; link failure

Hrčak ID: 170418

URI
https://hrcak.srce.hr/170418

Posjeta: 688 *