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无线人体区域网络中的电源控制:对机制,挑战和未来方向的审查
Haoru Su1, Zhiyi Zhao1, Boxuan Gu2
1College of Computer Science, Beijing University of Technology, Beijing 100124, China.
Sensors (Basel, Switzerland)
|February 13, 2026
概括
无线人体区域网络 (WBAN) 为健康监测提供实时数据,但面临能源挑战. 本综述探讨了功率控制方法,实现高达50%的节能,以提高网络性能.
科学领域:
- 无线人体区域网络 (WBANs) 是一种无线的网络.
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
- 无线网络中的能源效率
背景情况:
- 在医疗保健,体育和环境传感方面,WBAN对于实时数据收集至关重要,利用物联网进步.
- 在WBAN中,显著的能源消耗,特别是来自传输 (超过60%),置监听和动态环境,限制了它们的广泛采用.
- 关键的挑战包括尽量减少能源浪费,确保数据可靠性,保持服务质量 (QoS),并适应道变化和隐私问题.
研究的目的:
- 系统地审查和分析最近的无线机体区域网络 (WBAN) 的功率控制机制.
- 评估各种功率控制策略在解决WBAN中的能源限制方面的有效性.
- 专注于医疗保健和物联网 (IoT) 的应用场景.
主要方法:
- 在WBAN中对功率控制机制的系统文献综述.
- 方法的分类包括反控制,优化技术 (动态,凸),图形理论,游戏理论,强化学习 (RL),深度强化学习 (DRL) 和混合框架.
- 包括新兴架构,如联合学习和无细胞大规模MIMO.
主要成果:
- 经过审查的功率控制机制显示了显著的能源节约,从简单的反控制的6%到结合新兴架构的混合框架的50%.
- 节能的有效性取决于方法的复杂性和具体的应用场景.
- 观察到改善了网络寿命和增强数据可靠性,同时保持了基本的 QoS 要求.
结论:
- 先进的电源控制策略,特别是混合框架和新兴架构,在WBAN中提供了巨大的能源节约.
- 这些方法对于延长网络寿命和确保在关键医疗保健和物联网应用中可靠的数据传输至关重要.
- 对复杂的自适应功率控制机制的持续研究对于克服WBAN能源限制和提高其实用性至关重要.
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