LSR:非同构无线物联网网络的高能效多调制通信

IF 3.5 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Transactions on Internet of Things Pub Date : 2023-01-10 DOI:10.1145/3579366
Roman Trüb, Reto Da Forno, Andreas Biri, J. Beutel, L. Thiele
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引用次数: 1

摘要

在许多现实世界的无线物联网网络中,应用程序决定了节点的位置,因此链路特征是不均匀的。此外,在许多情况下,节点可能仅通过多个跃点与连接internet的网关通信。如果使用节能的短程调制方案,则只能通过高路径损耗链路可达的节点无法通信。使用能量要求更高的远程调制允许连接更多节点,但对于通过低路径损耗链路容易到达的节点来说,效率低下。结合多种调制是具有挑战性的,因为低功率无线电通常只支持一次使用一种调制。在本文中,我们提出了长短距离(LSR)协议,该协议支持使用多种调制的低功耗多跳通信,适用于具有非均匀链路特性的网络。为了减少远程调制的固有冗余,我们提出了一种在不增加大量开销的情况下确定常规数据通信过程中网络连接图的方法。在模拟中,我们表明,与使用单一远程调制的最先进的多跳通信协议相比,LSR允许在许多情况下显着降低功耗。我们通过在实际硬件和具有远程链路的测试平台上的实现来证明LSR的适用性。
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LSR: Energy-Efficient Multi-Modulation Communication for Inhomogeneous Wireless IoT Networks
In many real-world wireless IoT networks, the application dictates the location of the nodes and therefore the link characteristics are inhomogeneous. Furthermore, nodes may in many scenarios only communicate with the Internet-attached gateway via multiple hops. If an energy-efficient short-range modulation scheme is used, nodes that are reachable only via high-path-loss links cannot communicate. Using a more energy-demanding long-range modulation allows connecting more nodes but would be inefficient for nodes that are easily reachable via low-path-loss links. Combining multiple modulations is challenging, as low-power radios usually only support the use of a single modulation at a time. In this article, we present the Long-Short-Range (LSR) protocol which supports low-power multi-hop communication using multiple modulations and is suited for networks with inhomogeneous link characteristics. To reduce the inherent redundancy of long-range modulations, we present a method to determine the connectivity graph of the network during regular data communication without adding significant overhead. In simulations, we show that LSR allows for reducing power consumption significantly for many scenarios when compared to a state-of-the-art multi-hop communication protocol using a single long-range modulation. We demonstrate the applicability of LSR with an implementation on real hardware and a testbed with long-range links.
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CiteScore
5.20
自引率
3.70%
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0
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