无线可充电传感器网络的充电调度方法基于节点的能源消耗率预测.
Songjiang Huang1, Chao Sha1, Xinyi Zhu1
1School of Computer Science, Software and Cyberspace Security, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.
Sensors (Basel, Switzerland)
|September 28, 2024
概括
本研究介绍了无线可充电传感器网络 (WRSN) 的新方法,通过平衡能源消耗和动态预测节点能源需求来最大限度地减少事件损失. 该方法在动态环境中显著降低了事件缺失率 (EMR).
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:
- 无线可充电传感器网络 (WRSN) 越来越多地用于各种物联网 (IoT) 应用.
- 传感器节点能耗的动态变化给现有的充电调度方法带来了挑战.
- 不准确的能源需求估计可能导致关键节点故障和事件损失.
研究的目的:
- 开发WRSN的充电调度方法,以解决动态能源消耗和空间不平衡的问题.
- 通过准确预测节点能源需求,最大限度地降低事件缺失率 (EMR).
- 在能源需求波动的场景中确保网络稳定性和可靠性.
主要方法:
- 提出了一个能量消耗平衡树 (ECBT) 结构,以延长节点寿命.
- 将问题转化为最大限度地评估每个节点的能源消耗率预测 (MEECR).
- 解决了MEECR问题,这是背包问题的变体,使用动态编程,并开发了考虑节点能源需求和移动充电器功能的充电方案 (DCNM).
主要成果:
- 提出的方法有效地平衡了空间和时间的能源消耗动态.
- 实现了节点能耗率的准确预测.
- 开发的充电调度方案 (DCNM) 满足了节点要求和移动充电器能力的双重约束.
结论:
- 新的充电调度方法显著降低了动态能源消耗的WRSN中的事件缺失率 (EMR).
- 该方法的性能优于现有方法,平均EMR减少35.2%和26.9%.
- 这项工作为要求高的物联网应用程序中可靠的WRSN运行提供了强大的解决方案.
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