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Research Article | Open Access |

An Efficient Routing Protocol under Noisy Environment for Mobile Ad Hoc Networks using Fuzzy Logic

Author 1: Supriya Srivastava Author 2: A. K. Daniel
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 2, No. 6 · Published 2013 · Cited by 7

DOI: 10.14569/IJARAI.2013.020606

Abstract

A MANET is a collection of mobile nodes communicating and cooperating with each other to route a packet from the source to their destinations. A MANET is used to support dynamic routing strategies in absence of wired infrastructure and centralized administration. In this paper, we propose a routing algorithm for the mobile ad hoc networks based on fuzzy logic to discover an optimal route for transmitting data packets to the destination. This protocol helps every node in MANET to choose next efficient successor node on the basis of channel parameters like environment noise and signal strength. The protocol improves the performance of a route by increasing network life time, reducing link failure and selecting best node for forwarding the data packet to next node.

Keywords

How to Cite this Article

Srivastava, S., & Daniel, A. K. (2013). An Efficient Routing Protocol under Noisy Environment for Mobile Ad Hoc Networks using Fuzzy Logic. International Journal of Advanced Research in Artificial Intelligence, 2(6). https://doi.org/10.14569/IJARAI.2013.020606

Srivastava, Supriya, and A. K. Daniel. "An Efficient Routing Protocol under Noisy Environment for Mobile Ad Hoc Networks using Fuzzy Logic." International Journal of Advanced Research in Artificial Intelligence, vol. 2, no. 6, 2013, https://doi.org/10.14569/IJARAI.2013.020606.

@article{Srivastava2013,
  title     = {An Efficient Routing Protocol under Noisy Environment for Mobile Ad Hoc Networks using Fuzzy Logic},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {2},
  number    = {6},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Supriya Srivastava and A. K. Daniel},
  doi       = {10.14569/IJARAI.2013.020606},
  url       = {https://doi.org/10.14569/IJARAI.2013.020606}
}

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