scholarly journals Adaptive Neural Fuzzy Inference System for Accurate Localization of Wireless Sensor Network in Outdoor and Indoor Cycling Applications

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 38475-38489 ◽  
Author(s):  
Sadik Kamel Gharghan ◽  
Rosdiadee Nordin ◽  
Aqeel Mahmood Jawad ◽  
Haider Mahmood Jawad ◽  
Mahamod Ismail
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Wireless Sensor ◽  
Inference System ◽  
Accurate Localization ◽  
Neural Fuzzy

scholarly journals Using Fuzzy Inference System for Interference Mitigation in Cognitive Radio based Heterogeneous Wireless Sensor Network(FIS-CoRHAN)

2019 ◽  
Vol 8 (2) ◽  
pp. 5555-5564
Keyword(s):  
Cognitive Radio ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Geographical Area ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Inference System ◽  
Heterogeneous Wireless Sensor Network

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.

scholarly journals Using intellectual means for diagnosis of wireless sensor network

2019 ◽  
pp. 50-52
Author(s):  
Г.Ф. Кривуля ◽  
В.І. Сергіенко
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Large Scale ◽  
Fuzzy Inference ◽  
Wireless Sensor ◽  
Functional Diagnostics ◽  
Inference System ◽  
Neuro Fuzzy ◽  
Fuzzy Network

The paper discusses the adaptive neuro-fuzzy inference system ANFIS for intellectual diagnostics of large-scale wireless sensor networks. The solution for  functional diagnostics of wireless sensor network is realized by the expert system designed  on the knowledge base in the form of a neuron-fuzzy network.

scholarly journals Wireless Sensor Network using Tabu Searching Algorithm and Fuzzy Inference System

2019 ◽  
Vol 8 (2) ◽  
pp. 151-154
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Inference System ◽  
Packet Delivery ◽  
Reduce Energy Consumption ◽  
Minimal Effort

The ongoing mechanical headways in remote and installed innovations have made the assembling of little and minimal effort sensors actually and financially practical. Sensor hubs being little in size, they are intended to have just restricted detecting, registering and remote correspondence abilities. These sensors measure surrounding conditions in the condition encompassing them and afterward change these estimations into signals that can be handled to uncover a few attributes about marvels situated in the region around these sensors. In this paper tabu searching algorithm (TSA) based fuzzy inference system (FIS) to reduce energy consumption and increase packet delivery ratio (PDR). The proposed algorithm is implemented MATALB software and simulated all parameter

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