Optimized Gateway Placement for Interference Cancellation in Transmit-Only LPWA Networks

Tian, Hongxian; Weitnauer, Mary Ann; Nyengele, Gedeon

doi:10.3390/s18113884

Cited by 20 publications

(13 citation statements)

References 22 publications

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“…However, LoRaWAN gateways' deployment leads to high capital and operational cost, including a LoRaWAN gateway and leasing and maintenance costs. Therefore, network planning is a challenge that affects QoS, capital, and operating costs [26]. In the following subsection, we review state-of-the-art results on recently proposed networking planning mechanisms for LoRaWAN.…”

Section: A Overviewmentioning

confidence: 99%

“…This is because an inefficient network planning scheme leads to the void area where IoT devices may not have connectivity to a gateway [25]. This issue affects IoT applications' performance in terms of QoS and network operation in terms of CAPEX and OPEX [26]. Aside from that, future IoT applica-tion verticals foresee a huge amount of IoT devices per square meter.…”

Section: Introductionmentioning

confidence: 99%

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A Survey on Long-Range Wide-Area Network Technology Optimizations

et al. 2021

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Long-Range Wide-Area Network (LoRaWAN) enables flexible long-range service communications with low power consumption which is suitable for many IoT applications. The densification of LoRaWAN, which is needed to meet a wide range of IoT networking requirements, poses further challenges. For instance, the deployment of gateways and IoT devices are widely deployed in urban areas, which leads to interference caused by concurrent transmissions on the same channel. In this context, it is crucial to understand aspects such as the coexistence of IoT devices and applications, resource allocation, Media Access Control (MAC) layer, network planning, and mobility support, that directly affect LoRaWAN's performance. We present a systematic review of state-of-the-art works for LoRaWAN optimization solutions for IoT networking operations. We focus on five aspects that directly affect the performance of LoRaWAN. These specific aspects are directly associated with the challenges of densification of LoRaWAN. Based on the literature analysis, we present a taxonomy covering five aspects related to LoRaWAN optimizations for efficient IoT networks. Finally, we identify key research challenges and open issues in LoRaWAN optimizations for IoT networking operations that must be further studied in the future.

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Section: A Overviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Survey on Long-Range Wide-Area Network Technology Optimizations

et al. 2021

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“…Furthermore, in each work, we discuss their advantages and disadvantages to operate in a dynamic IoT scenario. Tian et al [20] investigated LPWAN gateways placement for a scenario with interference cancellation. This work developed two greedy algorithms in order to find the optimized gateways location.…”

Section: Related Workmentioning

confidence: 99%

“…Nevertheless, deploying LoRaWAN gateways lead to high Capital Expenditure (CAPEX) and Operational Expenditure (OPEX), including the cost of a LoRaWAN gateway, of its leasing, and maintenance. Hence, network planning, such as the LoRaWAN gateways placement model, is a critical problem that influences Quality of Service (QoS) as well as the CAPEX and OPEX [20]. While previous research [20][21][22][23][24][25] has examined LoRaWAN gateway placement problems, to the best of our knowledge, none have considered the minimum network performance along with cost efficiency [23].…”

Section: Introductionmentioning

confidence: 99%

LoRaWAN Gateway Placement Model for Dynamic Internet of Things Scenarios

Matni

Moraes

Oliveira

et al. 2020

Sensors

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Extended Range Wide Area Network (LoRaWAN) has recently gained a lot of attention from the industrial and research community for dynamic Internet of Things (IoT) applications. IoT devices broadcast messages for neighbor gateways that deliver the message to the application server through an IP network. Hence, it is required to deploy LoRaWAN gateways, i.e., network planning, and optimization, in an environment while considering Operational Expenditure (OPEX) and Capital Expenditure (CAPEX) along with Quality of Service (QoS) requirements. In this article, we introduced a LoRaWAN gateway placement model for dynamic IoT applications called DPLACE. It divides the IoT devices into groups with some degree of similarity between them to allow for the placement of LoRaWAN gateways that can serve these devices in the best possible way. Specifically, DPLACE computes the number of LoRaWAN gateways based on the Gap statistics method. Afterward, DPLACE uses K-Means and Fuzzy C-means algorithms to calculate the LoRaWAN gateway placement. The simulations’ results proved the benefits of DPLACE compared to state-of-the-art LoRaWAN gateway placement models in terms of OPEX, CAPEX, and QoS.

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“…Therefore, the capacity of high-speed wireless telecommunications such as Wi-Fi (IEEE 802.11 protocol standards) is too large in the category of wireless local area networking. Since a data rate with very small capacity is adequate and reasonable, we selected a low-power, wide-area (LPWA) network [18][19][20] that allows long-range wireless telecommunication at a low bit rate with low-power consumption, which is suitable for the Internet-of-Things (IoT) [21][22][23][24], i.e., objects that are connected to the internet. Then, the positioning system data are transferred by LPWA to a cloud data server every several minutes, where the dataset is accumulated; its unit data are composed of digit numbers for time, longitude, and latitude.…”

Section: Introductionmentioning

confidence: 99%

Mobilities in Network Topology and Simulation Reproducibility of Sightseeing Vehicle Detected by Low-Power Wide-Area Positioning System

et al. 2020

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Vehicle mobilities for passengers in a city’s downtown area or in the countryside are significant points to characterize their functions and outputs. We focus on commercial sightseeing vehicles in a Japanese city where many tourists enjoy sightseeing. Such mobilities and their visualizations make tourist activities smoother and richer. We design and install a low-power, wide-area positioning system on a rickshaw, which is a human-pulled, two- or three-wheeled cart, and monitor its mobility in Hikone City. All the spatial locations, which are recorded in a time sequence on a cloud server, are currently available as open data on the internet. We analyze such sequential data using graph topology, which reflects the information of corresponding geographical maps, and reproduce it in cyberspace using an agent-based model with similar probabilities to the accumulated rickshaw records from one spatial node to another. Although the numerical results of the agent traced in a simulated city are partially consistent with the rickshaw’s record, we identify some significant differences. We conclude that the rickshaw’s mobility observed at the actual sightseeing sites is partially in the random motion; some cases are strongly biased by memory routes. Such non-randomness in the rickshaw’s mobility indicates the existence of specific features in tourism sources that are identified for each sightseeing activity and affected by local sightseeing resources.

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Optimized Gateway Placement for Interference Cancellation in Transmit-Only LPWA Networks

Cited by 20 publications

References 22 publications

A Survey on Long-Range Wide-Area Network Technology Optimizations

A Survey on Long-Range Wide-Area Network Technology Optimizations

LoRaWAN Gateway Placement Model for Dynamic Internet of Things Scenarios

Mobilities in Network Topology and Simulation Reproducibility of Sightseeing Vehicle Detected by Low-Power Wide-Area Positioning System

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