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LAN Modeling in Rural Areas Based on Variable Metrics Using Fuzzy Logic


Affiliations
1 Department of Computer Science, Thoubal College, Manipur University, India
 

The global scenario of the present world highly needs the communication between the urban areas and the rural areas. To motivate a new system for rural broadband access, there needs the integration of LAN and IEEE 802.11 WLAN technologies. The variable metrics such as Access Protocol, User traffic profile, Buffer size and Data collision and retransmission are involved in the modeling of such LAN. In the paper, a fuzzy logic based LAN modeling technique is designed for which the variable metrics are imprecise. The technique involves the fuzzification of the variable metrics to be input, rule evaluation, and aggregation of the rule outputs. The implementation is done using Fuzzy Inference System (FIS) based on Mamdani style in MatLab 7.6 for the representation of the reasoning and effective analysis. Four LAN systems are tested to analyze potential variable metrics to bring a smooth communication in the rural societies.

Keywords

Fuzzy Logic, Linguistic Variable, Performance Rating, Fuzzy Inference System.
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  • LAN Modeling in Rural Areas Based on Variable Metrics Using Fuzzy Logic

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Authors

Ak. Ashakumar Singh
Department of Computer Science, Thoubal College, Manipur University, India

Abstract


The global scenario of the present world highly needs the communication between the urban areas and the rural areas. To motivate a new system for rural broadband access, there needs the integration of LAN and IEEE 802.11 WLAN technologies. The variable metrics such as Access Protocol, User traffic profile, Buffer size and Data collision and retransmission are involved in the modeling of such LAN. In the paper, a fuzzy logic based LAN modeling technique is designed for which the variable metrics are imprecise. The technique involves the fuzzification of the variable metrics to be input, rule evaluation, and aggregation of the rule outputs. The implementation is done using Fuzzy Inference System (FIS) based on Mamdani style in MatLab 7.6 for the representation of the reasoning and effective analysis. Four LAN systems are tested to analyze potential variable metrics to bring a smooth communication in the rural societies.

Keywords


Fuzzy Logic, Linguistic Variable, Performance Rating, Fuzzy Inference System.