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Publication . Article . 2020

Fuzzy Logic Based Path Stability Forecasting Scheme for Improving Data Dissemination in MANETs

C Calarany; Tagore Govt. Arts Professor; R Manoharan;
Open Access  
Published: 28 Feb 2020 Journal: International Journal of Engineering and Advanced Technology, volume 9, pages 2,768-2,775 (eissn: 2249-8958, Copyright policy )
Publisher: Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Path stability of the mobile nodes in MANET plays a vital role in effective data dissemination as it depends on factors such as mobility, energy, signal strength. Several studies reveal that the prediction of path stability might provide solutions thereby routing performance can be increased. In most of the protocols route selection is based on metrics namely hop count, energy, etc. The metric namely mobility factor “MF” is used in some of the protocols. These protocols include nodes with less energy or nodes with high mobility which results in loss of path in a short period of time. Since it preserves the neighbor’s history, more control overhead and maintenance complexity exist. Hence, a new metric namely Active Interactive new Neighbor Rate (AINR) has been considered for optimum path selection. In scenarios of path loss, there is an immediate need for alternative paths for continuous data transfer. From literature it is evident that fuzzy logic is more significant in exploring different possible states under path stability determination. Hence a new prediction mechanism based on fuzzy logic has been proposed by considering the Residual Energy (RE), Hop count (Hop) and proposed metric Active Interactive new Neighbor Rate (AINR) as the factors for the prediction of the optimal path. This prediction mechanism is leveraged in MANET scenarios where alternate paths should be available on hand in situations such as battlefield and natural disaster. From the simulation, it has been proved that fuzzy logic prediction model provides better results in terms of various performance metrics such as Throughput, Packet delivery ratio, End-to-end delay, Energy consumption and routing overhead than the existing protocols.
Subjects by Vocabulary

Microsoft Academic Graph classification: Path stability Distributed computing Scheme (programming language) computer.programming_language computer Fuzzy logic Dissemination Computer science


Computer Science Applications, General Engineering, Environmental Engineering