An Optimal Cluster Head and Gateway Node Selection with Fault Tolerance
نویسندگان
چکیده
In Mobile Ad Hoc Networks (MANET), Quality of Service (QoS) is an important factor that must be analysed for the showing better performance. The Node Quality-based Clustering Algorithm using Fuzzy-Fruit Fly Optimization Cluster Head and Gateway Selection (NQCAFFFOCHGS) has best network performance because it uses Improved Weighted (IWCA) to cluster FFO algorithm, which fuzzy-based metrics select CH entryway. However, major drawback fuzzy system was appropriately membership functions. Also, related path or link connectivity were not considered effectively choose gateway. When learning sets, this algorithm employs a new Continuous Action-set Learning Automata (CALA) approach correctly modifies chooses Despite fact extends network’s lifespan, does assist in detection defective nodes routing route. Because this, Fault Tolerance (NQCAEFFFOCHGS-FT) mechanism based on Distributed Connectivity Restoration (DCR) proposed, allows self-heal as consequence algorithm’s self-healing capacity. way method designed, node failures may utilised rebuild topology via use cascaded moves. Founded fractional information topologic overhead with each node, DCR suggested alternative DCR. compared NQCAFFFOCHGS recreation results display proposed NQCAEFFFOCHGS-FT improves terms end-to-end delay, energy consumption, Packet Loss Ratio (PLR), Normalized Routing Overhead (NRO), Balanced Load Index (BLI).
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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.2023.025762