Prediction of Link Failure in MANET-IoT Using Fuzzy Linear Regression

نویسندگان

چکیده

A Mobile Ad-hoc NETwork (MANET) contains numerous mobile nodes, and it forms a structure-less network associated with wireless links. But, the node movement is key feature of MANETs; hence, quick action nodes guides link failure. This failure creates more data packet drops that can cause long time delay. As result, measuring accurate factor in MANET. paper presents Fuzzy Linear Regression Method to measure Link Failure (FLRLF) provide an optimal route MANET-Internet Things (IoT). work aims predict improve routing efficiency The (FLRM) measures lifespan based on group built by Received Signal Strength (RSS). Hill Climbing (HC) method selects Group Leader (GL) mobility, degree energy. Additionally, uses Data Gathering forward information from GL sink through multiple GL. identified linking energy using Particle Swarm Optimization (PSO) algorithm. simulation results demonstrate FLRLF approach increases minimizes

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ژورنال

عنوان ژورنال: Intelligent Automation and Soft Computing

سال: 2023

ISSN: ['2326-005X', '1079-8587']

DOI: https://doi.org/10.32604/iasc.2023.032709