Using Fuzzy Inference System for Interference Mitigation in Cognitive Radio based Heterogeneous Wireless Sensor Network (FIS-CoRHAN)
T. Shanthi1, E. Sakthivel2, M. Arunraja3 

1Dr. T. Shanthi, Associate Professor, Department of Electronics and Communication Engineering, Kings College of Engineering, Punalkulam, (Tamil Nadu), India
2Dr. E. Sakthivel, Associate Professor, PSR Engineering College, Sivakasi, (Tamil Nadu), India
3Dr. M. Arunraja, Associate Professor, Jeymugi Engineering College, Jayamukhi Institute of Technological Sciences – JITS Warangal Telangana, India

Manuscript received on 15 March 2019 | Revised Manuscript received on 21 March 2019 | Manuscript published on 30 July 2019 | PP: 5555-5564 | Volume-8 Issue-2, July 2019 | Retrieval Number: B3409078219/19©BEIESP | DOI: 10.35940/ijrte.B3409.078219
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Abstract: Cognitive Radio based Heterogeneous Wireless Sensor Network (CoRHAN) is an innovative multi-layered infrastructure approach in wireless engineering which incorporates different communication modes over large geographical area. CoRHAN employs cooperative communication among sensor nodes and cognitive radio to ensure an optimized communication experience for users. It shares radio resources fairly and efficiently by integrating multiple networks together. Challenge in such network is the ability to instantly detect interference on the frequencies being used and quickly tune to other better frequencies for communication reliability. In this paper, we have proposed an enhanced CoRHAN using Fuzzy Inference System (FIS). FIS is applied to mitigate the fading frequencies due to co-channel interference. It helps to sort out the best frequency channel among the selected cooperative spectrum sensed channels. Prototype was developed to demonstrate the proof of concept and analyze the feasibility and practicality of using FIS-CoRHAN technique in Cognitive Radio based Heterogeneous Wireless Sensor Network. Simulation results show that our solution achieves better performance when compared to existing CoRHAN approach substantially satisfying the robustness constraints.
Keywords: Channel Sensing, Channel Switching, Cognitive Radio, Fuzzy Inference System, Heterogeneous Wireless Sensors, Interference Mitigation.

Scope of the Article: Fuzzy Logics