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A priority based energy harvesting scheme for charging embedded sensor nodes in wireless body area networks

机译:基于优先级的能量收集方案,用于为无线人体局域网中的嵌入式传感器节点充电

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摘要

This research work proposes a novel priority aware schedule based charging algorithm that uses wireless power transfer (WPT) technique in order to charge embedded sensor nodes (SNs) in a wireless body area network (WBAN). Implanted sensor nodes in WBANs require energy for both information extraction and data transmission to the remote controller unit. Thus, energy shortage of these SNs deteriorates due to the data transmission process of the patient health monitoring system. However, continuous operation by means of electromagnetic induction for energy harvesting, obtained from ambient sources, reduces the overall efficiency of the primary unit. With this paradigm in sight, an algorithm demonstrating the modeling of a priority-based mechanism is proposed in order to ensure proper sensor voltage level and to reduce the transmission losses. Medium access control (MAC) protocols are used for inductive powering from the primary unit to the secondary unit in a collision-free centralized scheduling scheme. Therefore, the proposed wireless charging algorithm for implanted SNs in WBAN is designed as per carrier sense multiple access with collision avoidance (CSMA/CA) technique. Because of this, the overall power consumption of SNs for certain operation periods, successful charging probabilities for multiple SNs, and instantaneous power requirements are considered as key performance measures of analysis. It is assumed that proper energy storage in both transmitters and receivers can handle channel interference and traffic contention. Simulation results verify that a significant reduction in power consumption for the proposed priority aware algorithm will maintain almost similar output. For this reason, saturating class—C as well as class—E driver circuits have been used to justify the performance in two different circuit topologies. Effects of priority with respect to the full charge period have also been observed for the multi-node system. Furthermore, from performance analysis, it has been demonstrated that the scheduling scheme causes both single MOSFET composed saturating class—C and Lchoke modeled class—E associated driver circuits to be considerably more loss efficient than corresponding existing ones.
机译:这项研究工作提出了一种新颖的基于优先级调度的计费算法,该算法使用无线电力传输(WPT)技术对无线人体局域网(WBAN)中的嵌入式传感器节点(SN)进行充电。 WBAN中植入的传感器节点需要能量来进行信息提取和数据传输到遥控器。因此,由于患者健康监测系统的数据传输过程,这些SN的能量短缺恶化。然而,从环境源获得的通过电磁感应进行能量收集的连续操作降低了初级单元的整体效率。有了这种范例,提出了一种算法,该算法演示了基于优先级的机制的建模,以确保适当的传感器电压水平并减少传输损耗。媒体访问控制(MAC)协议用于在无冲突的集中调度方案中从主单元到辅助单元的感应式供电。因此,针对每个WBAN中的SN植入的SN提出的无线充电算法是按照具有避免冲突的载波侦听多路访问(CSMA / CA)技术设计的。因此,某些操作期间SN的总体功耗,多个SN的成功充电概率以及瞬时功率要求被视为分析的关键性能指标。假定在发射机和接收机中适当的能量存储都可以处理信道干扰和业务争用。仿真结果证明,对于所提出的优先级感知算法,功耗的显着降低将保持几乎相似的输出。因此,已经使用饱和的C类和E类驱动器电路来证明两种不同电路拓扑中的性能合理。对于多节点系统,还可以观察到优先级相对于整个充电周期的影响。此外,从性能分析中已经证明,该调度方案使组成饱和类C和Lchoke建模类E的单个MOSFET关联的驱动器电路比现有的相应驱动器电路具有更高的损耗效率。

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