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A Delay and Spectrum Aware Fuzzy Logic Based Routing Protocol for CRN


Affiliations
1 Department of Computer Engineering, YMCA University of Science and Technology, Faridabad, India
2 Department of Electronics and Communication, YMCA University of Science and Technology, Faridabad, India
 

Cognitive Radio (CR) is an intelligent technology used to sense the spectrum in order to make efficient use of limited spectrum available. The use of such radios in ad hoc network not only increases the probability of reach ability but also provides a reliable path between a pair of nodes. Networks that employ CR technology are termed as Cognitive Radio Ad Hoc Networks (CRAHN). Quality of route depends upon several parameters but it is highly influenced by end to end delay encountered by a packet to reach from source to destination. More is the end to end delay; lesser will be the efficiency of the network. End to end delay is directly concerned with the reliability of data transfer. Therefore this paper proposes a routing scheme that obtains a most reliable route with minimum end to end delay using fuzzy logic theory. The proposed strategy is implemented in MATLAB-7.0 and the simulation results show that our proposed routing scheme outperforms the traditional Shortest Spectrum Aware routing scheme available in literature.

Keywords

Delay, Cognitive Radio Networks, Channel Assignment, Fuzzy Expert System.
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  • A Delay and Spectrum Aware Fuzzy Logic Based Routing Protocol for CRN

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Authors

Poonam
Department of Computer Engineering, YMCA University of Science and Technology, Faridabad, India
Chander Kumar Nagpal
Department of Computer Engineering, YMCA University of Science and Technology, Faridabad, India
Shailender Gupta
Department of Electronics and Communication, YMCA University of Science and Technology, Faridabad, India

Abstract


Cognitive Radio (CR) is an intelligent technology used to sense the spectrum in order to make efficient use of limited spectrum available. The use of such radios in ad hoc network not only increases the probability of reach ability but also provides a reliable path between a pair of nodes. Networks that employ CR technology are termed as Cognitive Radio Ad Hoc Networks (CRAHN). Quality of route depends upon several parameters but it is highly influenced by end to end delay encountered by a packet to reach from source to destination. More is the end to end delay; lesser will be the efficiency of the network. End to end delay is directly concerned with the reliability of data transfer. Therefore this paper proposes a routing scheme that obtains a most reliable route with minimum end to end delay using fuzzy logic theory. The proposed strategy is implemented in MATLAB-7.0 and the simulation results show that our proposed routing scheme outperforms the traditional Shortest Spectrum Aware routing scheme available in literature.

Keywords


Delay, Cognitive Radio Networks, Channel Assignment, Fuzzy Expert System.