2026· IEEE Transactions on Green Communications and Networking· Vol 10, pp. 3845-3855· 0 citations· 35 references
Computer Science
Abstract
Recently, the need for monitoring industrial and agricultural areas has led to the increased adoption of low power wide area network (LPWAN) sensor networks, which utilize a primary group of data transmission technologies. Long Range Wide Area Network (LoRaWAN) networks, which operate using a specific transmission protocol within the LPWAN framework, have gained significant importance in these applications due to their energy efficiency and cost-effectiveness. As monitored areas grow and become more remote, the traditional LoRaWAN protocol faces challenges in scalability and wide-area coverage. This issue is typically managed by adding additional gateways, though this solution increases both infrastructure costs and gateway-to-server connectivity complexity. Recent research has explored multihop schemes to address these limitations; however, these schemes currently support only periodic transmissions, as relay nodes require prior knowledge of transmission times to wake up and forward packets. This reliance on periodic transmissions limits the protocol’s flexibility, making it less responsive to non-periodic or event-driven data needs. This work introduces a novel approach that leverages wake-up radio (WuR), supporting not only periodic but also asynchronous and event-based data retransmissions while maintaining high energy efficiency. Therefore, this work overcomes the limitations of asynchronous and event-driven transmissions without requiring continuously active receivers, achieving high energy efficiency and supporting a theoretically unlimited number of hops. Extensive simulations demonstrate that the network capacity of the proposed LoRa multihop protocol outperforms that of a three-gateway topology, while also achieving higher energy efficiency than an Adaptive Data Rate (ADR)-enabled single-gateway LoRaWAN setup.
This paper advocates for the introduction of a centralized radio access network (C-RAN) architecture tailored for LPWANs and presents a proof-of-concept implementation and deployment of the proposed C-RAN for the widely popular long range (LoRa) standard.
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A The Internet of Things (IoT) has emerged as a potential technology to improve the efficiency of numerous areas due to the growing number of devices connected to the internet. In the field of Low Power Wide Area Networks (LPWAN), LoRaWAN is a cutting-edge and well-known communication protocol that is renowned for its...
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Wi-Fi has become a fundamental wireless communication technology, supporting a wide range of applications while continuing to evolve to meet increasingly demanding use cases. Future Wi-Fi networks are expected to support industrial and time-sensitive applications that require low-latency and highly reliable communicati...
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Low Power Wide Area Networks (LPWANs) such as LoRa commonly adopt unslotted ALOHA for its simplicity, but the resulting throughput ceiling (0.183 frames/frame-time) limits scalability. We propose a heterogeneous multi-channel collision resolution system that partitions $M$ channels into contention channels and dedicate...
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Deep Q-learning with a rapidly converging local search method based on permutation-equivariant neural networks for unseen environments in the given network scenarios is incorporated to ensure faster convergence and a minimal memory footprint.
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