Solar energy paper index
Green D-OXA: Energy-Efficient Fog NodePlacement with Renewable Energy Integration forSustainable IoT Networks
One-line summary
A solar energy research paper on Green D-OXA: Energy-Efficient Fog NodePlacement with Renewable Energy Integration forSustainable IoT Networks.
Engineering notes
Engineering notes will be added by the Power for Solar editorial team.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为光伏效率、钙钛矿太阳能电池、储能技术、太阳能热利用、BIPV、并网技术等高价值论文补充中文说明。
Original abstract
The exponential growth of Internet of Things (IoT) devices necessitates fog computing architectures that balance network performance with energy efficiency and environmental sustainability.Traditional fog node placement algorithms decouple energy considerations from optimization processes, leading to excessive grid dependency and substantial carbon emissions.This research introduces Green D-OXA, a novel energy-efficient algorithm for dynamic fog node placement with integrated renewable energy harvesting in sustainable IoT networks.Green D-OXA extends the bio-inspired OX optimizer through four adaptive mechanisms: energy-aware warm-start initialization, adaptive iteration control, intelligent triggering with renewable energy prediction, and explicit solar-wind harvesting models with battery management.The algorithm formulates continuous multi-objective optimization integrating connectivity, coverage, movement costs, energy consumption, renewable utilization, and carbon reduction.Comprehensive experimental evaluation across five dynamic scenarios mobile fog nodes, equipment failures, time-varying traffic, network expansion, and combined dynamics demonstrates superior performance compared to three established baseline algorithms (SPP-TLBO, CSA-FSPP, SPP-DEA).Green D-OXA achieves 97.8% connectivity, 98.4% coverage, 68.5% renewable energy utilization, and 43.4%-56% CO₂ emission reduction.Scalability analysis from 50 to 1000 nodes confirms practical deploy ability with minimal performance degradation and 3.8%-4.9%energy overhead.Results establish Green D-OXA as an effective solution for sustainable large-scale IoT-fog computing infrastructures, advancing green computing initiatives through intelligent renewable energy integration.
Links and sources
Need this topic turned into a technical roadmap?
Power for Solar can prepare a custom solar energy literature review, simulation code map, dataset map, and B2B photovoltaic technology assessment.
Request B2B research
Comments