ECKN:在无线传感器网络中用于位置估计,数据包路由和睡眠调度的综合方法
Mauricio Bertanha1, Richard W Pazzi1, Khalil El-Khatib1
1Faculty of Business and IT, Ontario Tech University, 2000 Simcoe St N., Oshawa, ON L1G 0C5, Canada.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
本研究介绍了无线传感器网络 (WSN) 的能源意识连接k邻域 (ECKN). ECKN集成了本地化,路由和睡眠调度,以延长网络寿命并改善节点定位.
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) 在网络寿命和节点本地化方面面临挑战,原因是电池的限制和无人监督的部署.
- 现有的解决方案经常单独解决本地化和网络寿命问题,从而产生了对综合方法的需求.
研究的目的:
- 为WSNs提出一种名为能源意识连接k-neighborhood (ECKN) 的新综合机制.
- 为了提高网络寿命,提高节点本地化准确性,并确保高效的数据包路由.
主要方法:
- ECKN使用三边化来估计位置,使用移动水槽和局部邻居.
- 基于贪的地理转发 (GGF) 的路由协议被调整为考虑可靠的数据包交付的剩余能量.
- 使用利用连接k-neighborhood (CKN) 的睡眠调度机制,可以节省能源,同时保持网络连接.
主要成果:
- ECKN成功地延长了WSN网络的寿命.
- 该机制准确地定位传感器节点.
- 它保持了可接受的数据包交付比率,同时降低了整体网络开销.
结论:
- 对于关键的WSN设计因素,ECKN提供了统一的解决方案:本地化,路由和能源管理.
- 综合方法显著提高了WSN的性能和寿命,特别是在资源有限的环境中.
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