Quality-Driven Energy-Efficient Big Data Aggregation in WBANs
IEEE Sensors Letters(2022)
摘要
In the Internet of Things (IoT) era, the development of wireless body area networks (WBANs) and their applications in big data infrastructure has gotten a lot of attention from the medical research community. Since sensor nodes are low-powered devices that require heterogeneous quality of service, managing large amounts of medical data is critical in WBANs. Therefore, effectively aggregating a large volume of medical data is important. In this context, we propose a quality-driven and energy-efficient big data aggregation approach for cloud-assisted WBANs. For both the intra-BAN (Phase I) and inter-BAN (Phase II) communications, the aggregation approach is cost effective. Extensive simulation results show that quality-driven energy-efficient big data aggregation for WBANs improves network efficiency in terms of traffic served and energy consumption by 5–7 and 7–8% as compared to the existing schemes.
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关键词
Sensor networks,big data aggregation,quality of service (QoS),wireless body area networks (WBANs)
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