Improving the Reliability of RPL Using Hybrid Deep Learning and Objective Function-Based DODAG Structure for AMI
نویسندگان
چکیده
Advanced Metering Infrastructure (AMI) is the prime smart grid application that connects meters and electric power stations. Routing Protocol for Low-Power Lossy Networks (RPL) most familiar lightweight routing protocol AMI networks. The reliability of RPL a potential problem efficient deployment This paper ensures attack network AMI-RPL proposes Hybrid Deep Learning based Intrusion Detection System (HDL-IDS) Multi-Objective Function-based Reliable (MOR-RPL) reliability. HDL-IDS assures against attacks by analyzing eliminating traffic successfully. MOR-RPL method improves construction procuring multi-objective function-based metrics in DODAG building. simulation results show are significantly enhanced with balanced energy consumption.
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ژورنال
عنوان ژورنال: Mathematical modelling of engineering problems
سال: 2022
ISSN: ['2369-0739', '2369-0747']
DOI: https://doi.org/10.18280/mmep.090634