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首页> 外文会议>IEEE International Conference on Networking, Architecture and Storage >Battery-Aware MAC Analytical Modeling for Extending Lifetime of Low Duty-Cycled Wireless Sensor Network
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Battery-Aware MAC Analytical Modeling for Extending Lifetime of Low Duty-Cycled Wireless Sensor Network

机译：电池感知的MAC分析模型，可延长低占空比无线传感器网络的使用寿命

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摘要

Emerging techniques and systems for Wireless Sensor Network (WSN) are developed in the last decade for various application fields. In WSN, the sensor nodes are usually distributed over a large area and are powered by batteries with limited energy, maintaining a long service lifetime for the entire network becomes a challenging task. In this paper, a novel battery aware MAC analytical model is proposed for low duty-cycled WSN. The proposed analytical model takes the characteristics of actual battery into account and targets the optimal sleep interval with a reasonable trade-offs between the energy dissipation on sending the preamble and idle listening. The simulation results demonstrate that the proposed approach can improve the energy efficiency as well as guarantee low latency and high reliability.
机译：在过去的十年中，针对各种应用领域开发了用于无线传感器网络（WSN）的新兴技术和系统。在WSN中，传感器节点通常分布在较大的区域，并由能量有限的电池供电，因此要为整个网络维持较长的使用寿命成为一项艰巨的任务。本文针对低占空比无线传感器网络提出了一种新型的电池感知MAC分析模型。所提出的分析模型考虑了实际电池的特性，并针对最佳的睡眠间隔，并在发送前同步码的能量消耗和空闲监听之间进行合理权衡。仿真结果表明，该方法可以提高能源效率，并保证低延迟和高可靠性。

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