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Qos-aware error recovery in wireless body sensor networks using adaptive network coding

机译:使用自适应网络编码的无线人体传感器网络中的Qos感知错误恢复

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摘要

Wireless body sensor networks (WBSNs) for healthcare and medical applications are real-time and life-critical infrastructures, which require a strict guarantee of quality of service (QoS), in terms of latency, error rate and reliability. Considering the criticality of healthcare and medical applications, WBSNs need to fulfill users/applications and the corresponding network’s QoS requirements. For instance, for a real-time application to support on-time data delivery, a WBSN needs to guarantee a constrained delay at the network level. A network coding-based error recovery mechanism is an emerging mechanism that can be used in these systems to support QoS at very low energy, memory and hardware cost. However, in dynamic network environments and user requirements, the original non-adaptive version of network coding fails to support some of the network and user QoS requirements. This work explores the QoS requirements of WBSNs in both perspectives of QoS. Based on these requirements, this paper proposes an adaptive network coding-based, QoS-aware error recovery mechanism for WBSNs. It utilizes network-level and user-/application-level information to make it adaptive in both contexts. Thus, it provides improved QoS support adaptively in terms of reliability, energy efficiency and delay. Simulation results show the potential of the proposed mechanism in terms of adaptability, reliability, real-time data delivery and network lifetime compared to its counterparts.
机译:用于医疗保健和医疗应用的无线人体传感器网络(WBSN)是实时且至关重要的基础设施,就延迟,错误率和可靠性而言,它们需要严格保证服务质量(QoS)。考虑到医疗保健和医疗应用的重要性,WBSN需要满足用户/应用和相应网络的QoS要求。例如,对于支持实时数据传递的实时应用程序,WBSN需要保证网络级别的受限延迟。基于网络编码的错误恢复机制是一种新兴机制,可以在这些系统中使用,以极低的能耗,内存和硬件成本来支持QoS。但是,在动态网络环境和用户要求中,网络编码的原始非自适应版本无法支持某些网络和用户QoS要求。这项工作从QoS的两个角度探讨了WBSN的QoS要求。基于这些要求,本文提出了一种基于自适应网络编码的QoS感知WBSN错误恢复机制。它利用网络级别和用户/应用程序级别的信息来使其在两种情况下都具有自适应性。因此,它在可靠性,能效和延迟方面自适应地提供了改进的QoS支持。仿真结果表明,与相应机制相比,该机制在适应性,可靠性,实时数据传递和网络寿命方面具有潜力。

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