面向能量采集物联网的能量感知接收端发起式MAC协议
Energy-Aware Receiver-initiated MAC Protocol for Energy Harvesting IoT
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中文总结 AI 辅助
针对现有EH-IoT MAC协议依赖存储能量易中断运行的问题，提出EARI-MAC协议，通过数学公式调整接收端占空比，仿真显示其能效与性能优于QPPD-MAC及无能量感知MAC。
中文摘要 AI 辅助
能量采集（EH）技术已成为延长物联网（IoT）设备运行自主性的关键途径。在此背景下，面向能量采集物联网（EH-IoT）的介质访问控制（MAC）协议需高效利用采集的能量以提升应用性能。然而，现有诸多MAC协议在设计能量感知策略时依赖设备中的存储能量，这在动态且低EH条件下会中断设备运行，阻碍正在执行的任务。为解决该问题，本文提出一种面向EH-IoT设备的能量感知接收端发起式MAC协议，命名为EARI-MAC，该协议通过数学公式根据存储能量与当前采集功率调整接收端设备的占空比。该方法支持低EH条件下接收端的持续运行，并在采集能量充足时提升应用性能。本文采用在诺威萨收集的真实太阳能数据，连续三天在仿真环境中评估EARI-MAC的性能。仿真结果表明，与QPPD-MAC和无能量感知的MAC相比，EARI-MAC可高效利用可用能量资源，将数据包投递率和网络吞吐量提升10%以上，分别降低接收端能耗5.6%和8.2%，每比特能耗降低9.6%和13.9%。
英文摘要
Energy harvesting (EH) technology has emerged as a key approach for extending the operational autonomy of Internet of Things (IoT) devices. In this context, medium access control (MAC) protocols for EH-IoT make use of the harvested energy efficiently to enhance the application performance. However, many existing MAC protocols rely on stored energy the battery in devising energy-aware strategies, which can interrupt the device operation and hinder the execution of ongoing tasks in dynamic and low EH conditions. To address this, this paper presents an energy-aware receiver-initiated MAC protocol for EH-IoT devices, called EARI-MAC, that adjusts the duty cycle of the receiver device based on stored energy and current harvesting power using the mathematical formulation. This approach supports sustained receiver operation under low EH conditions and improved application performance when harvested energy is abundant. The performance of the EARI-MAC has been evaluated in simulation using the real solar data gathered in Novi Sad, for three consecutive days. The simulation results demonstrate that the EARI-MAC utilizes the available energy resources efficiently and improves the packet delivery ratio and network throughput by more than 10%, reduces the receiver energy consumption by 5.6% and 8.2% and energy consumption per bit by 9.6% and 13.9% compared with QPPD-MAC and energy-unaware MAC, respectively.
发表机构
- Faculty of Technical Sciences, University of Novi Sad（诺维萨德大学技术科学学院）
- Department of Computer Systems and Sciences, Stockholm University（斯德哥尔摩大学计算机系统科学系）
机构由 AI 辅助整理，请以论文原文为准。
