基于IEEE 802.15.4 TSCH网络的自适应信道跳频：一种动态伯努利赌博机方法

中文摘要 AI 辅助

在用于低功耗、短距离无线通信的IEEE 802.15.4标准中，仅使用单个信道进行传输，这可能导致能耗增加、网络延迟高和数据包交付率（PDR）低下。在随后的IEEE 802.15.4-2015标准中，开发了一种时隙信道跳频（TSCH）机制，该机制允许在16个不同信道上进行周期性但固定的跳频模式。然而，不幸的是，这些信道中的大多数容易受到高功率共存Wi-Fi信号干扰以及可能其他ISM频段传输的干扰。这种干扰表现为其他设备的存在/不存在，这些设备采用静态或动态的信道选择策略。为了隔离具有不良条件的信道，定义了黑名单机制来适应信道跳频过程。然而，现有的形成黑名单的解决方案不切实际地假设外部干扰的统计模型保持不变，并且不随时间变化。在本文中，我们现实地假设外部干扰对802.15.4的影响通常可能遵循非平稳模式，并据此将自适应信道跳频问题从机器学习理论角度表述为动态多臂伯努利赌博机（Dynamic MABB）过程。然后，我们提出了一种具有可跟踪性的在线学习算法，用于计算自适应跳频策略。仿真证实，当外部干扰的统计具有切换机制时，所提出的解决方案在能效以及TSCH网络的两个重要KPI（即PDR和延迟）方面均优于先前方案。

英文摘要

In IEEE 802.15.4 standard for low-power low-range wireless communications, only one channel is employed for transmission which can result in increased energy consumption, high network delay and poor packet delivery ratio (PDR). In the subsequent IEEE 802.15.4-2015 standard, a Time-slotted Channel Hopping (TSCH) mechanism has been developed which allows for a periodic yet fixed frequency hopping pattern over 16 different channels. Unfortunately, however, most of these channels are susceptible to high-power coexisting Wi-Fi signal interference and to possibly some other ISM-band transmissions. This interference manifests itself in the form of the presence/absence of other devices with either or both static and dynamic channel selection policies. In order to isolate channels with undesirable conditions, blacklisting mechanisms are defined to adapt the channel hopping process. However, the existing solutions which form blacklists unrealistically assume that the statistical model of the external interference remains fixed, and do not vary over time. In this paper, we realistically assume that the impact of external interferes on 802.15.4 may generally follow a non-stationary pattern, and accordingly formulate the adaptive channel hopping problem as a Dynamic Multi-Armed Bernoulli Bandit (Dynamic MABB) process from the machine learning theory. We then propose an online learning algorithm with track-ability properties for computing an adaptive hopping policy. Simulations confirm that when the statistics of the external interference has a switching regime, the proposed solution outperforms the previous schemes in terms of both energy efficiency as well as two important KPIs for TSCH-based networks, i.e., PDR and latency.

发表机构

• Amirkabir University of Technology (Tehran Polytechnic)（阿米尔卡比尔理工大学（德黑兰理工学院））

机构由 AI 辅助整理，请以论文原文为准。