Optimal Gateway Placement Based on Fuzzy C-Means for Low Power Wide Area Networks

Matni, Nagib; Moraes, Jean; Rosário, Denis; Cerqueira, Eduardo; Neto, Augusto

doi:10.1109/latincom48065.2019.8937899

Cited by 17 publications

(15 citation statements)

References 12 publications

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Section: Introductionsupporting

confidence: 78%

“…The results obtained here extend those found in preliminary investigation [24]. While previous work [24] computes the LoRaWAN gateway placement in a dynamic IoT scenario, in this paper, we compute the number and positions of LoRaWAN gateways without being aware of the end-devices' location for a specified area. In this sense, DPLACE considers a set of LoRaWAN gateway locations for different IoT scenarios to apprehend their dynamism, increasing the reliability, resilience, and coverage, while keeping low CAPEX and OPEX.…”

Section: Introductionsupporting

confidence: 78%

“…Simulation results show that DPLACE has similar behavior in both scenarios with and without LoRaWAN gateway failure, while PLACE [24] reduced the PDR by 3% in a scenario with LoRaWAN gateway failure. By analyzing the results, we conclude that DPLACE improves the PDR by 8% compared to PLACE for the scenario without any failures, while increasing by 10% in a scenario with one gateway failure.…”

Section: Introductionmentioning

confidence: 92%

“…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%

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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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Section: Introductionsupporting

confidence: 78%

Section: Introductionsupporting

confidence: 78%

Section: Introductionmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

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LoRaWAN Gateway Placement Model for Dynamic Internet of Things Scenarios

Matni

Moraes

Oliveira

et al. 2020

Sensors

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“…Os EDs são implantados no ambiente para coletar medições periodicamente, e enviar esses dados para o servidor de rede via GW. Para atingir um melhor desempenho, aumentando a entrega de pacotes, cobertura e diminuir os custos da implantação física, os GWs são dispostos no cenário por meio de um algoritmo de posicionamentoótimo, o qual define a topologia baseada em um método de clusterização, onde o cenárioé dividido em vários clusters, i.e., grupos de dispositivos e o GWé implantado na região central de cada grupo, conforme realizado em [Matni et al 2019].…”

Section: Visão Geral Do Cenáriounclassified

Mecanismo de Alocação de Recursos para LoRaWAN Ciente da Prioridade das Aplicações de IoT

Lima¹,

Matni²,

Moraes³

et al. 2020

Anais Do Simpósio Brasileiro De Computação Ubíqua E Pervasiva (SBCUP 2020)

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O aumento no numero de dispositivos LoRaWAN conectados, tem aumentado as colisões e interferências na rede. Neste sentido, surge a necessidade de um mecanismo para gerenciar o fator de propagação usado pelos dispositivos durante as transmissões. No entanto, os mecanismos existentes não tratam a prioridade das aplicações, ocasionando em dispositivos com funções importantes tenham o mesmo tratamento que dispositivos com funções menos importantes ,trazendo menos segurança do ponto de vista da aplicação. Este artigo propõe o PRA, um mecanismo de alocação de fator de propagação de acordo com o nível de importância da aplicação, priorizando aplicações com alta e media prioridade. Simulações mostram que o PRA reduz em até 85% e 80% o tempo no ar e o consumo de energia para grupos de dispositivos de alta e media prioridade, respectivamente, se comparado a mecanismos do estado-da-arte.

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Planning a secure and reliable IoT-enabled FOG-assisted computing infrastructure for healthcare

Ali

Bukhari

et al. 2021

Cluster Comput

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Optimal Gateway Placement Based on Fuzzy C-Means for Low Power Wide Area Networks

Cited by 17 publications

References 12 publications

LoRaWAN Gateway Placement Model for Dynamic Internet of Things Scenarios

LoRaWAN Gateway Placement Model for Dynamic Internet of Things Scenarios

Mecanismo de Alocação de Recursos para LoRaWAN Ciente da Prioridade das Aplicações de IoT

Planning a secure and reliable IoT-enabled FOG-assisted computing infrastructure for healthcare

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