Quality-Driven Energy-Efficient Big Data Aggregation in WBANs

Abstract

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 lowpowered devices that require heterogeneous Quality-of-Service (QoS), 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 qualitydriven and energy-efficient big data aggregation approach for cloud-assisted WBANs. For both intra-BAN (Phase I) and inter-BAN (Phase II) communications, the aggregation approach is cost-effective. Extensive simulation results show that the proposed approach -DEBA greatly improves network efficiency in terms of aggregation delay and cost as compared to existing schemes.

QoS-Aware Federated Crosschain-Based Model-Driven Reference Architecture for IIoT Sensor Networks in Distributed Manufacturing

“…Moreover, the 3VS yields excessive volume, variety, and velocity of data (3VD), big data [6], [11]. The significant growth in IIoT and the 3VD of 3VS poses a formidable challenge for acquiring and processing data while preserving the essential quality of service (QoS) requirements in DSM [3], [11], [12], [13], [14].…”

“…Universities, research institutions, and enterprises, including DSM, are the end-users of the DMC. However, DMC platforms are severely constrained by an IIoT sensor framework for DSM that guarantees indispensable QoS demands involving the 3VD of 3VS [3], [11], [12], [13], [14], [15].…”

“…Each factory comprises a number of production lines of cells, where a cell will typically involve an array of IIoT sensors. DSM involves various types of QoS-oriented demands, such as integrity, robustness, resource consumption, cost, and latency [3], [11], [12], [13], [14]. Among these, we focus on integrity and robustness in DSM.…”