基于物联网的废物管理:混合最佳路由和废物分类模型
Sunilkumar Ketineni1, Malathi Chilakalapudi1, Srilaxmi Dandamudi2
1School of Computer Science and Engineering, VIT-AP University, Vijayawada, Andhra Pradesh, India.
概括
本研究介绍了一种高效的物联网 (IoT) 废物管理系统. 拟议的系统优化了路由,并使用先进的图像分类来改善废物处理和减少能源消耗.
科学领域:
- 计算机科学 计算机科学
- 环境科学 环境科学
- 工程 工程师 工程师 工程师
背景情况:
- 物联网 (IoT) 实现了物理设备的连接,促进了自动化系统的数据收集和传输.
- 有效的废物管理对于最大限度地减少与废物相关的环境和人类健康风险至关重要.
- 通过数据洞察力和高效路由优化废物管理操作是市政当局面临的关键挑战.
研究的目的:
- 提出基于物联网 (IoT) 的高效废物管理系统.
- 为物联网网络中数据传输开发一个优化的路由机制.
- 加强废物图像分类,以改善废物管理流程.
主要方法:
- 一个物联网路由过程使用混合蛇优化更新贝卢加优化算法 (SOUBWO) 考虑距离,能量,链接质量,延迟和信任.
- 废物图像处理涉及Wiener过用于预处理和拟议的平衡代缩减和集群使用层次结构-改变距离指标 (BIRCH-ADM) 算法进行细分.
- 使用组图上的多文本,局部Gabor XOR模式 (LGXP) 和统计特征的特征提取,然后使用混合深度maxout和双向长期短期记忆 (Bi-LSTM) 模型进行分类.
主要成果:
- 拟议的物联网路由算法 (SOUBWO) 在各种约束下有效地管理数据传输.
- 废弃物图像分类模型通过集成深度挖掘和Bi-LSTM网络实现了高精度.
- 与传统方法相比,开发的系统显示能耗显著降低 (0.123).
结论:
- 拟议的基于物联网的废物管理系统为优化废物收集和处理提供了有效的解决方案.
- 混合优化和分类方法有助于降低能源消耗和提高系统性能.
- 这项研究为开发利用物联网技术开发更智能,更可持续的废物管理策略提供了基础.
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