Energy-efficient multi-hop LoRa broadcasting with reinforcement learning for IoT networks

IF 4.4 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Xueshuo Chen, Yuxing Mao, Yihang Xu, Wenchao Yang, Chunxu Chen, Bozheng Lei
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引用次数: 0

Abstract

Low power wide area networks (LPWAN) have grown significantly in popularity recently, and long-range (LoRa) technologies have drawn notice as a branch of LPWAN. Nevertheless, most current research primarily concentrates on optimizing communication protocols or mechanisms for the LoRa uplink. Considering the demand for large-scale data distribution in the IoT environment, we propose a novel mechanism for LoRa broadcasting with formula derivation and parameter analysis. This scheme adopts the advantages of both LoRa protocols and multi-hop technology that make the data quickly spread to all devices from the center of an area.This scheme optimizes transmission energy consumption by selecting proper relays to alleviate the problem of power shortage in LoRa devices. In this paper, we design an algorithm based on machine learning and reinforcement learning to reduce transmission costs for LoRa devices. The superiority of the proposed scheme in saving communication resources has been demonstrated compared to traditional methods. When broadcasting data downstream, it can save approximately 87.4% of the time. Moreover, through simulation analysis, the proposed algorithm can save at least 12.61% transmitting energy under constraints comparing with the benchmark algorithms.
物联网网络节能多跳LoRa广播与强化学习
近年来,低功率广域网(LPWAN)越来越受欢迎,远程(LoRa)技术作为LPWAN的一个分支引起了人们的注意。然而,目前大多数研究主要集中在对LoRa上行链路的通信协议或机制进行优化。针对物联网环境下大规模数据分布的需求,提出了一种基于公式推导和参数分析的LoRa广播机制。该方案结合了LoRa协议和多跳技术的优点,使数据从区域中心快速传播到所有设备。该方案通过选择合适的中继,优化传输能耗,缓解LoRa设备的电量不足问题。在本文中,我们设计了一种基于机器学习和强化学习的算法来降低LoRa设备的传输成本。与传统方法相比,该方案在节省通信资源方面具有优势。当向下游广播数据时,可以节省大约87.4%的时间。通过仿真分析,在约束条件下,与基准算法相比,所提算法可节省至少12.61%的传输能量。
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来源期刊
Ad Hoc Networks
Ad Hoc Networks 工程技术-电信学
CiteScore
10.20
自引率
4.20%
发文量
131
审稿时长
4.8 months
期刊介绍: The Ad Hoc Networks is an international and archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in ad hoc and sensor networking areas. The Ad Hoc Networks considers original, high quality and unpublished contributions addressing all aspects of ad hoc and sensor networks. Specific areas of interest include, but are not limited to: Mobile and Wireless Ad Hoc Networks Sensor Networks Wireless Local and Personal Area Networks Home Networks Ad Hoc Networks of Autonomous Intelligent Systems Novel Architectures for Ad Hoc and Sensor Networks Self-organizing Network Architectures and Protocols Transport Layer Protocols Routing protocols (unicast, multicast, geocast, etc.) Media Access Control Techniques Error Control Schemes Power-Aware, Low-Power and Energy-Efficient Designs Synchronization and Scheduling Issues Mobility Management Mobility-Tolerant Communication Protocols Location Tracking and Location-based Services Resource and Information Management Security and Fault-Tolerance Issues Hardware and Software Platforms, Systems, and Testbeds Experimental and Prototype Results Quality-of-Service Issues Cross-Layer Interactions Scalability Issues Performance Analysis and Simulation of Protocols.
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