基于动态信道交换方案的多跳通信性能评价

Takeo Hidaka, Daiki Nobayashi, Y. Fukuda, K. Tsukamoto, T. Ikenaga
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引用次数: 1

摘要

无线传感器和执行器网络(wsan)有望成为支持机器对机器(M2M)通信和物联网(IoT)的基础技术。然而,无线传感器面临着固有的局限性,因为它们必须在电池电量严重有限的情况下提供高需求响应(DR)。在努力实现节能特性和高DR的同时,我们正在研究和开发无线电按需传感器和执行器网络(ROD-SANs),其中每个节点都配备了一个唤醒接收器,允许所有节点在大部分时间保持睡眠模式,只有在接收到唤醒信号后才发送。由于唤醒信号还可以包含信道信息,因此发送方节点可以在需要时指示接收方节点切换通信信道。然而,随着使用同一通道的节点数量的增加,数据包冲突发生的频率会增加,从而降低响应性能。另一方面,频繁的信道切换不可避免地增加了信道切换时延。为了同时减少分组冲突和信道交换延迟,我们扩展了基于平均信道利用率的信道交换(ACS)方案,该方案在我们之前关于单跳通信的工作中讨论过,使其能够在多跳通信中提供高效的性能。在本文中,基于仿真,我们展示了我们的方案如何将传输比性能提高约20%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance evaluation of multi-hop communication with a dynamic channel switching scheme in ROD-SAN
Wireless sensor and actuator networks (WSANs) are expected to be come fundamental technologies supporting machine-to-machine (M2M) communication and the internet of things (IoT). However, wireless sensors face inherent limitations because they must provide high demand response (DR) despite severely limited battery power. In an effort to achieve both power-saving characteristics in addition to high DR, we are working on research and development of radio-on-demand sensor and actuator networks (ROD-SANs), in which each node is equipped with a wake-up receiver that allows all nodes to stay in sleep mode most of the time, and transmit only after a wake-up signal is received. Since the wake-up signal can also include channel information, the sender nodes can direct the receiver nodes to switch communication channels when needed. However, as the number of nodes using the same channel increases, packet collisions occur more frequently, thereby degrading response performance. On the other hand, frequent channel switching inevitably increases channel switching delays. To simultaneously reduce both packet collisions and channel switching delays, we have extended the average-channel-utilization-based channel switching (ACS) scheme, discussed in our previous work on single-hop communication in a way that allows it to provide efficient performance in multi-hop communication. In this paper, based on simulations, we show how our scheme can improve the delivery ratio performance by approximately 20%.
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