Near Ground Pathloss Propagation Model Using Adaptive Neuro Fuzzy Inference System for Wireless Sensor Network Communication in Forest, Jungle and Open Dirt Road Environments

Near Ground Pathloss Propagation Model Using Adaptive Neuro Fuzzy Inference System for Wireless Sensor Network Communication in Forest, Jungle and Open Dirt Road Environments

In Wireless Sensor Networks which are deployed in remote and isolated tropical areas; such as forest; jungle; and open dirt road environments; wireless communications usually suffer heavily because of the environmental effects on vegetation; terrain; low antenna height; and distance. Therefore; to s...

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Bibliographic Details
Main Authors: Adesta, E.Y.T (Author), Anzum, R. (Author), Habaebi, M.H (Author), Hakim, G.P.N (Author), Islam, M.R (Author), Toha, S.F (Author), Yusoff, S.H.B (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Benchmarking
Dirt roads
Electromagnetic waves
forest
Forest
Forestry
fuzzy ANFIS
Fuzzy ANFIS
Fuzzy inference
Fuzzy neural networks
Fuzzy systems
jungle
Jungle
Lora
LoRa
near ground
Near ground
open dirt road
Open dirt road
Path loss
pathloss propagation model
Pathloss propagation model
Propagation models
Receiving antennas
Roads and streets
RSSI
Tropics
wireless sensor network
Wireless sensor networks
Online Access:View Fulltext in Publisher

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