Article
Computer Science, Information Systems
David Todoli-Ferrandis, Javier Silvestre-Blanes, Victor Sempere-Paya, Salvador Santonja-Climent
Summary: This article analyzes the operation of gateways with class B devices in LoRaWAN and proposes an optimization mechanism (ABPC) to improve the usability of these networks in dynamic scenarios by changing time-related parameters configuration. The simulation and test results show the tradeoff between waiting time, reception probability, and energy consumption of end devices, and describe how increasing traffic density impacts key performance indicators.
Article
Chemistry, Analytical
Lorenzo Vangelista, Ivano Calabrese, Alessandro Cattapan
Summary: This paper presents a new and effective method based on machine learning techniques, specifically the support vector machine supervised learning method, for determining the level of mobility of end devices. The proposed method does not rely on the location capability of LoRaWAN networks; instead, it relies only on data always available at the LoRaWAN network server. The performance of this method in a real LoRaWAN network is assessed, and the results provide clear evidence of the effectiveness and reliability of the proposed machine learning approach.
Article
Computer Science, Information Systems
Pei Tian, Carlo Alberto Boano, Xiaoyuan Ma, Jianming Wei
Summary: LoRaWAN, a popular protocol for low-power wide area networks, adopts a star topology which limits network coverage and energy efficiency. This study introduces LoRaHop, an extension that adds mesh network capability and seamless packet relay to LoRaWAN, enabling multi-hop support for both uplink and downlink messaging. LoRaHop leverages concurrent transmissions to improve data collection efficiency and simplify network formation, while minimizing the impact on existing LoRaWAN transmissions. Experimental results demonstrate that LoRaHop effectively extends network coverage, improves reliability by up to 98.33%, and reduces energy consumption by up to 48.02%.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
David Todoli-Ferrandis, Javier Silvestre-Blanes, Victor Sempere-Paya
Summary: This article discusses the challenges of using LoRaWAN technology in wireless deployments for smart cities and industry 4.0, focusing on the Class B MAC mode for better performance in downlink traffic, as well as the application of an adaptive data rate mechanism.
Article
Chemistry, Analytical
Markos Fragkopoulos, Spyridon Panagiotakis, Michail Kostakis, Evangelos K. K. Markakis, Nikolaos Astyrakakis, Athanasios Malamos
Summary: LoRaWAN networks offer energy-efficient operation and great capacity for suburban and rural areas, but network administrators face challenges in optimizing coverage, scalability, and energy efficiency. This study reviews the limitations of the LoRaWAN protocol and identifies factors affecting communication performance, such as data rate allocation and transmission settings. Simulation experiments show that collision occurrences impact channel occupancy, and clustering end nodes near gateways improves network scalability. With this approach, a simulation achieved a packet delivery rate (PDR) greater than 0.90 with 6000 end nodes in a 10 km coverage.
Article
Computer Science, Information Systems
Chao Jiang, Yue Yang, Xianghui Chen, Jianxin Liao, Weixian Song, Xihai Zhang
Summary: This article proposes a new and more effective ADR algorithm (ND-ADR) for improving channel utilization and power consumption of terminal equipment in LoRaWAN. The algorithm solves the issues of the standard ADR algorithm's inability to be applied to mobile terminal devices and poor communication quality in harsh environments. Extensive simulation results demonstrate the superiority of the ND-ADR algorithm.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Jaco Morne Marais, Adnan M. Abu-Mahfouz, Gerhard P. Hancke
Summary: This article introduces an adaptive congestion scheme (ACS) that monitors and reduces congestion caused by DL traffic. It utilizes an algorithm called groupedPackets to decrease the number of sent confirmed packets and improve successful delivery.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Information Systems
Houssem Eddin Elbsir, Mohamed Kassab, Sami Bhiri, Mohamed Hedi Bedoui
Summary: LoRaWAN technology is crucial in the IoT field. This paper proposes a performance evaluation for LoRaWAN Class B, considering transmission efficiency and delivery delay. The study optimizes the working mechanism and evaluates the effects of configurable parameters. The results help optimize LoRaWAN networks for actuator-based IoT applications.
COMPUTER COMMUNICATIONS
(2023)
Article
Physics, Multidisciplinary
Zulfiqar Ali, Kashif Naseer Qureshi, Kainat Mustafa, Rasool Bukhsh, Sheraz Aslam, Hana Mujlid, Kayhan Zrar Ghafoor
Summary: This paper proposes a dynamic reinforcement learning resource allocation approach to improve the performance of edge-based IoT services by allocating efficient resources to smart end devices. The results of the study show that the proposed approach outperforms currently implemented algorithms in terms of consumption and reliability.
Article
Computer Science, Information Systems
Minar El-Aasser, Phoebe Edward, Mohamed Mandour, Mohamed Ashour, Tallal Elshabrawy
Summary: LoRa is a rising LPWAN technology that faces threats from both intra-system and inter-system interference. Most literature works have overlooked the impact of inter-system ISM interference on LoRa-LPWAN transmissions. A new paradigm for modeling LoRa modulation performance has been proposed, incorporating the joint impact of SNR and SIR in order to represent the intra-system interference behavior during LoRAWAN operation.
INTERNET OF THINGS
(2021)
Article
Computer Science, Interdisciplinary Applications
Ulysse Coutaud, Martin Heusse, Bernard Tourancheau
Summary: This study characterizes the LoRa channel and proposes optimization strategies for the LoRaWAN Adaptive Data Rate algorithm based on this characterization. The proposed methods improve communication reliability and efficiency, as validated through simulations on both synthetic and real-world wireless links.
Article
Computer Science, Information Systems
Ali Al-Shuwaili, Ahmed Lawey
Summary: Achieving low-latency for computations offloading in Mobile Edge Computing (MEC) systems remains a critical design issue. A new architectural paradigm with decoupled UL/DL association has been proposed, showing improved network throughput compared to conventional schemes. Despite backhaul delays, the offloading scheme with decoupled access provides lower latency compared to conventional coupled access.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Computer Science, Information Systems
Arshad Farhad, Jae-Young Pyun
Summary: This article proposes a novel approach called hybrid ADR (HADR) for resource allocation to static and mobile end devices (EDs). HADR optimally allocates resources to static and mobile EDs simultaneously by executing the appropriate ADR based on the device's static or mobile status.
Article
Engineering, Electrical & Electronic
Domenico Garlisi, Ilenia Tinnirello, Giuseppe Bianchi, Francesca Cuomo
Summary: LoRaWAN is an attractive network infrastructure and protocol suite for ultra low power Internet of Things devices. This paper proposes an innovative sequential waterfilling strategy for assigning spreading factors to End Devices, showing significant improvement in network capacity and robustness to different operating/load conditions and network topology configurations.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Yao Xu, Julian Cheng, Gang Wang, Victor C. M. Leung
Summary: Investigated NOMA-based CDRT, proposed a joint downlink-uplink adaptive scheme for bidirectional communication.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
