Quality-Driven Energy-Efficient Big Data Aggregation in WBANs

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