Abstract IEEE 802.15.4 is a well-known protocol for low power, low rate wireless personal area networks that determines the specifications for the physical layer and the media access control sub-layer. However, IEEE 802.15.4 suffers from several limitations that play a role in reducing its performance such as using a default maximum backoff (macMaxCsmaBackoffs) value for channel access. In terms of energy efficiency, complexity, delay, using a default macMaxCsmaBackoffs does not provide optimum performance in every channel condition. For this reason, we built an adaptive channel access model, ACAMRO that maximizes channel utilization via adjusting macMaxCsmaBackoffs according to channel conditions. ACAMRO provides higher throughput which yields up to a 120% performance gain compared to the default IEEE 802.15.4 setup. It provides an implementation requiring low memory space that is less than 20 kBytes. Measured results show that ACAMRO achieves significant throughput increase, and a low complexity solution for Internet of Things devices.

中文翻译：

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☆提升物联网和无线传感器网络设备的IEEE 802.15.4信道接入性能

摘要 IEEE 802.15.4 是一个众所周知的低功耗、低速率无线个域网协议，它确定了物理层和媒体访问控制子层的规范。然而，IEEE 802.15.4 受到一些限制，这些限制会降低其性能，例如使用默认的最大退避 (macMaxCsmaBackoffs) 值进行信道访问。在能效、复杂性、延迟方面，使用默认 macMaxCsmaBackoffs 并不能在每个信道条件下提供最佳性能。为此，我们构建了一个自适应信道访问模型 ACAMRO，它通过根据信道条件调整 macMaxCsmaBackoffs 来最大化信道利用率。ACAMRO 提供更高的吞吐量，与默认的 IEEE 802.15.4 设置相比，性能提升高达 120%。它提供了一种需要小于 20 KB 的低内存空间的实现。实测结果表明，ACAMRO 实现了吞吐量的显着提高，并且是物联网设备的低复杂度解决方案。