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DOI: 10.14569/IJACSA.2017.080415
PDF

Improved Selfish Node Detection Algorithm for Mobile Ad Hoc Network

Author 1: Ahmed. A. Hadi
Author 2: Zulkarnain Md. Ali
Author 3: Yazan Aljeroudi

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 4, 2017.

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Abstract: Mobile Ad hoc network (MANET) suffers from different security issues. Ideally, not all nodes in MANET cooperate in forwarding packets because of non-malicious intention. This node is called selfish node and it behaves so due to its internal state such as limited energy concerns. Selfish nodes drop packets and that harms the process of routes establishment and relaying packets. Therefore, it is very important to detect these nodes and avoid them, which guarantees improving the performance of the overall network. Here, an improved scheme has been developed for detecting selfish node in Ad Hoc On-demand Distance Vector routing protocol (AODV) based wireless routing network. Two algorithms were integrated for assuring least fault positive decision of selfish nodes detection; first one is to avoid false positive of detection of selfish nodes in forwarding Route Request (RREQ) and second one is to avoid false positive of detection of selfish node in forwarding data packets. This scheme guarantees improvement in performance of packet forwarding in terms of Packet Delivery Ratio (PDR) and End-to-End delay (E2E delay).

Keywords: Selfish nodes detection; AODV routing; routing protocols; MANET

Ahmed. A. Hadi, Zulkarnain Md. Ali and Yazan Aljeroudi, “Improved Selfish Node Detection Algorithm for Mobile Ad Hoc Network” International Journal of Advanced Computer Science and Applications(IJACSA), 8(4), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080415

@article{Hadi2017,
title = {Improved Selfish Node Detection Algorithm for Mobile Ad Hoc Network},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080415},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080415},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {4},
author = {Ahmed. A. Hadi and Zulkarnain Md. Ali and Yazan Aljeroudi}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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