重新定义物联网网络,通过压缩感应范式来提高能源和内存效率
S Balamurali1, M Kathirvelu2, SatheeshKumar Palanisamy3
1Department of Electronics and Communication Engineering, KPR Institute of Engineering and Technology, Coimbatore, Tamil Nadu, 641407, India. balamuraliselvaraj@gmail.com.
Scientific reports
|July 27, 2025
概括
本研究介绍了NSPL-HCS,这是无线传感器网络 (WSN) 的新框架,可以提高能源效率和网络寿命. 新方法增强了数据压缩和传输,克服了物联网 (IoT) 中的资源限制.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 网络工程 网络工程
背景情况:
- 无线传感器网络 (WSN) 对物联网 (IoT) 至关重要,但受到资源限制 (能源,内存).
- 在WSN中现有的能源管理技术导致电池快速耗尽和网络寿命缩短.
- 传感器节点的内存限制阻碍了数据存储,影响了WSN的生产力和可扩展性.
研究的目的:
- 为增强物联网应用程序解决WSN中的能量和内存限制.
- 引入一种新的混合压缩传感框架,NSPL-HCS,以提高WSN性能.
- 优化WSN操作,包括集群,数据压缩和传输.
主要方法:
- 开发了NSPL-HCS (基于Landweber的新型光滑预测混合压缩传感).
- 集成增强的粒子群集优化和灰狼优化与压缩传感.
- 增强了关键的WSN操作:集群创建,头部选择,数据压缩,传输和重建.
主要成果:
- NSPL-HCS在吞吐量,剩余能量和活节点数量方面取得了显著的改进.
- 在第一个和半个死节点方面实现了更好的性能,从而延长了网络寿命.
- 模拟结果验证了框架在测试函数上的可靠性和可行性.
结论:
- 通过优化能源消耗和数据处理,NSPL-HCS有效地提高了WSN的性能.
- 该框架克服了关键的资源限制,为物联网中更广泛地采用WSN铺平了道路.
- NSPL-HCS为改善WSN的寿命和效率提供了可靠和可行的解决方案.
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