IEEE 802.15.6 standard has been designed for wireless body sensor networks (WBSNs) that consist of several sensors and a coordinator node in, on or around the human body. In WBSNs, the body sensors continuously send their data to the coordinator node for remote healthcare applications. Continuously sensing body signals is a requirement for vital signs but continuously sending these signals to a destination over coordinator node is not necessary. Measured signs may be in a normal range for a healthy person, so these measurements may not be transmitted to a destination. In this study, the event-driven approach in an IEEE 802.15.6 based WBSN architecture are examined. If a vital sign exceeds the normal range in the proposed architecture, the corresponding sensor must send the sign to the coordinator node. In addition, a WBSN architecture is designed with the energy harvesting capabilities for purposing energy efficiency in a different way. Comparative performance analysis of three WBSN; traditional WBSN, event-driven WBSN, and energy harvesting aware WBSN is given in this study to show the impacts of energy efficiency methods to WBSNs. The event-driven scheme outperforms traditional WBSN, with a delay of 21% and energy consumption of 67% and the proposed energy harvesting aware scheme provides 5% additional energy to the traditional WBSN. Simulation results show that our proposed methods yield much better performance than the traditional approach.

IEEE 802.15.6标准是为无线人体传感器网络（WBSN）设计的，无线人体传感器网络由人体内部，周围或周围的多个传感器和协调器节点组成。在WBSN中，身体传感器将其数据连续发送到协调器节点，以进行远程医疗保健应用。连续感测人体信号是生命体征的必要条件，但无需通过协调器节点将这些信号连续发送到目的地。对于健康人而言，测量的体征可能在正常范围内，因此这些测量值可能不会传输到目的地。在这项研究中，研究了基于IEEE 802.15.6的WBSN体系结构中的事件驱动方法。如果生命体征超出了建议的体系结构中的正常范围，则相应的传感器必须将生命体征发送到协调器节点。此外，WBSN架构具有能量收集功能，旨在以不同的方式实现能源效率。三种WBSN的比较性能分析；这项研究给出了传统的WBSN，事件驱动的WBSN和了解能量收集的WBSN，以显示能源效率方法对WBSN的影响。事件驱动方案优于传统WBSN，延迟为21％，能耗为67％，拟议的能量收集感知方案为传统WBSN提供5％的额外能量。仿真结果表明，我们提出的方法比传统方法具有更好的性能。本研究给出了具有能量收集意识的WBSN，以展示能源效率方法对WBSN的影响。事件驱动方案优于传统WBSN，延迟为21％，能耗为67％，拟议的能量收集感知方案为传统WBSN提供5％的额外能量。仿真结果表明，我们提出的方法比传统方法具有更好的性能。本研究给出了具有能量收集意识的WBSN，以展示能源效率方法对WBSN的影响。事件驱动方案优于传统WBSN，延迟为21％，能耗为67％，拟议的能量收集感知方案为传统WBSN提供5％的额外能量。仿真结果表明，我们提出的方法比传统方法具有更好的性能。