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Balancing Energy Fluctuations with Multi Level Trust Model for Multi Route Selection with Rank Based Route Clusters in Smart Grids
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Journal Article
Balancing Energy Fluctuations with Multi Level Trust Model for Multi Route Selection with Rank Based Route Clusters in Smart Grids
2024
Overview
A smart grid is a power distribution network that utilizes information and communication technologies to manage, track, and direct the flow of information between power generators and consumers. Only with dependable communication networks can a smart grid provide a wide range of electrical services while simultaneously streamlining and optimizing energy consumption. In a smart grid network, the Advanced Metering Infrastructure (AMI) sensor nodes detect, analyze, and communicate data; all of this activity necessitates energy, a finite resource that is crucial for the network's upkeep over time. Wireless mesh networks have the same trust issues that plague conventional distributed ad hoc networks. The proposed model considers the multi level trust models for the nodes for mitigating energy fluctuations. This research considers an Energy Efficient Multi Level Trust Model for Multi Route Selection with Rank based Route Clusters (EEMLTM-MRS-RRC) in Smart Grid that maintains multiple routes by considering the trust factors. The proposed model calculates the trust factor of nodes in smart grid by considering the internal and externals factors. The proposed model selects a cluster head node for analyzing and monitoring the internal and external factor of nodes in the network. The proposed model achieved 98.5% accuracy in Energy Consumption Reduction and 98.6% accuracy in Trusted Route Selection. The proposed model, when contrasted with traditional routing models, performs better in energy consumption reduction and route maintenance.
Publisher
International Information and Engineering Technology Association (IIETA)
Subject
