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DOI: 10.14569/IJACSA.2017.080473
PDF

An Efficient Routing Protocol in Mobile Ad-hoc Networks by using Artificial Immune System

Author 1: Fatemeh Sarkohaki
Author 2: Reza Fotohi
Author 3: Vahab Ashrafian

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

  • Abstract and Keywords
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Abstract: Characteristics of the mobile ad-hoc networks such as nodes high mobility and limited energy are regarded as the routing challenges in these networks. OLSR protocol is one of the routing protocols in mobile ad hoc network that selects the shortest route between source and destination through Dijkstra's algorithm. However, OLSR suffers from a major problem. It does not consider parameters such as nodes’ energy level and links length in its route processing. This paper employs the artificial immune system (AIS) to enhance efficiency of OLSR routing protocol. The proposed algorithm, called AIS-OLSR, considers hop count, remaining energy in the intermediate nodes, and distance among node, which is realized by negative selection and ClonalG algorithms of AIS. Widespread packet - level simulation in ns-2 environment, shows that AIS-OLSR outperforms OLSR and EA-OLSR in terms of packet delivery ratio, throughput, end-end delay and lifetime.

Keywords: AIS-OLSR; Routing protocol; Mobile ad hoc network; AIS

Fatemeh Sarkohaki, Reza Fotohi and Vahab Ashrafian, “An Efficient Routing Protocol in Mobile Ad-hoc Networks by using Artificial Immune System” International Journal of Advanced Computer Science and Applications(IJACSA), 8(4), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080473

@article{Sarkohaki2017,
title = {An Efficient Routing Protocol in Mobile Ad-hoc Networks by using Artificial Immune System},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080473},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080473},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {4},
author = {Fatemeh Sarkohaki and Reza Fotohi and Vahab Ashrafian}
}



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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