Fairness-Aware Data Offloading in Wireless Body Area Networks with QoS Constraint

Tri Gia Nguyen, Amit Samanta
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引用次数: 1

Abstract

In recent years, the rapid development of Wireless Body Area Networks (WBANs) has provided efficient healthcare services to emergent medical patients. Nevertheless, the WBANs provide efficient healthcare services; however, the mobility and interference in WBANs inherently affect the quality of links between sensors and coordinators. Therefore, with poor link qualities, selecting the optimal coordinators among sensor nodes is necessary to minimize the network’s heavy energy consumption rate and traffic load. Additionally, in mobile architecture, it is necessary to offload the medical data efficiently from sensor nodes to selected optimal coordinators to manage the Quality-of-Service (QoS) of sensor nodes. Thus, unlike most existing works in this paper, we propose a fairness-aware data offloading scheme for inter-BAN communication to optimize the traffic load and QoS of WBANs. Extensive simulation results show that FARE improves section rate, data offloading price, and throughput over other existing solutions.
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具有QoS约束的无线体域网络公平性感知数据卸载
近年来,无线体域网络(wban)的快速发展为急诊患者提供了高效的医疗服务。然而,妇女保健中心提供高效率的保健服务;然而,无线宽带网络的移动性和干扰会影响传感器和协调器之间的链路质量。因此,在链路质量较差的情况下,需要在传感器节点之间选择最优的协调器,以最小化网络的高能耗率和流量负载。此外,在移动架构中,需要有效地将医疗数据从传感器节点卸载到选定的最优协调器,以管理传感器节点的服务质量(QoS)。因此,与大多数现有工作不同,我们提出了一种公平感知的数据卸载方案,用于ban间通信,以优化wban的流量负载和QoS。广泛的仿真结果表明,与其他现有解决方案相比,FARE提高了分段速率、数据卸载价格和吞吐量。
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