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LoRaWANベースの廃棄物管理のためのダイナミックスケジューリングとアダプティブ電力制御:エネルギー効率の良いIoTフレームワーク
Yongbo Wu1, Cedrick B Atse1, Ping Tan1
1School of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Sensors (Basel, Switzerland)
|February 13, 2026
まとめ
この研究は,LoRa (長距離) 通信ノードでの電力消費を削減することによって,スマートな廃棄物管理システムを最適化します. 新しい方法は,エネルギー消費を84%以上削減し,バッテリーの寿命を延長し,持続可能な都市ソリューションのための運用コストを削減します.
科学分野:
- 環境科学 環境科学
- コンピュータサイエンス コンピュータサイエンス
- エンジニアリング エンジニアリング
背景:
- 効率的な廃棄物管理は,都市の持続可能性にとって極めて重要です.
- スマートバインシステムは,より良い廃棄物収集のためにIoTを活用しています.
- エネルギー効率は,IoT廃棄物管理の実行可能性の鍵です.
研究 の 目的:
- LoRaベースのスマートバンシステムでの電力消費を最適化するために.
- IoTの廃棄物管理のエネルギー効率と持続可能性を高めるために.
- スマート廃棄物システムにおける運用コストとメンテナンス介入を削減する.
主な方法:
- IoTの廃棄物管理のためにLoRa (長距離) 通信技術を活用しました.
- LoRaノードのエネルギー使用量を最小限にするために,高度な最適化技術を実装しました.
- 統合されたダイナミックスケジューリングと,バン利用に基づく適応データレート/電力アルゴリズム.
主要な成果:
- LoRaノードのエネルギー使用量を84%以上削減しました.
- スマートバンクのバッテリー寿命が大幅に延長されることが実証されました.
- システムのパフォーマンスを最適化することで,メンテナンス介入の頻度が減りました.
結論:
- スマート廃棄物管理のためのスケーラブルでエネルギー効率の高い枠組みを開発しました.
- シミュレーションと現実世界の展開を通じて,最適化技術の有効性を検証しました.
- 提案されたシステムは,資源が限られた環境のための持続可能な解決策を提供します.
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