International Journal of Computer Networks and Applications

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Adaptive Neuro-Fuzzy Inference System Based On-Demand Fault Tolerant Routing Protocol (ANFIS-ODFTR) for MANETs


Affiliations
1 Department of Computer Science, Government College (Autonomous), Rajahmundry, Andhra Pradesh, India
2 Department of Computer Science, S V University, Tirupati, Andhra Pradesh, India
 

Due to adverse characteristics such as open medium, recurrent restructuring of paths, power constraints, and high mobility of MANETs, the nodes and links failed frequently. These failures increase the control overhead because of the tedious route discovery process. Thereby the performance of the network diminished drastically. Devising an efficient on-demand routing protocol with fault tolerance is a challenging task. Detecting and removal of these faulty nodes during data transmission without affecting the communication flow is very critical because of the unavailability of path information. The research challenge of designing the effective fault tolerant routing protocol for MANET is addressed in this study. An Adaptive Neuro-Fuzzy Inference System was utilized to create a fault-tolerant routing system. The fault tolerant routing protocols based on numerical estimation are discussed. Simulation results have attested that the suggested approach considerably boosts the Packet Delivery Ratio while lowering the Routing Overhead.

Keywords

MANET, Fuzzy Inference System, ANFIS, Hybrid Neural Network, ANN, Fault Tolerance, AODV, RSSI.
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  • Adaptive Neuro-Fuzzy Inference System Based On-Demand Fault Tolerant Routing Protocol (ANFIS-ODFTR) for MANETs

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Authors

Suneel Kumar Duvvuri
Department of Computer Science, Government College (Autonomous), Rajahmundry, Andhra Pradesh, India
S. Ramakrishna
Department of Computer Science, S V University, Tirupati, Andhra Pradesh, India

Abstract


Due to adverse characteristics such as open medium, recurrent restructuring of paths, power constraints, and high mobility of MANETs, the nodes and links failed frequently. These failures increase the control overhead because of the tedious route discovery process. Thereby the performance of the network diminished drastically. Devising an efficient on-demand routing protocol with fault tolerance is a challenging task. Detecting and removal of these faulty nodes during data transmission without affecting the communication flow is very critical because of the unavailability of path information. The research challenge of designing the effective fault tolerant routing protocol for MANET is addressed in this study. An Adaptive Neuro-Fuzzy Inference System was utilized to create a fault-tolerant routing system. The fault tolerant routing protocols based on numerical estimation are discussed. Simulation results have attested that the suggested approach considerably boosts the Packet Delivery Ratio while lowering the Routing Overhead.

Keywords


MANET, Fuzzy Inference System, ANFIS, Hybrid Neural Network, ANN, Fault Tolerance, AODV, RSSI.

References





DOI: https://doi.org/10.22247/ijcna%2F2021%2F210721