LoRaWAN Gateway Placement Model for Dynamic Internet of Things Scenarios
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 networ...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-08-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/15/4336 |
| _version_ | 1797560384536707072 |
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| author | Nagib Matni Jean Moraes Helder Oliveira Denis Rosário Eduardo Cerqueira |
| author_facet | Nagib Matni Jean Moraes Helder Oliveira Denis Rosário Eduardo Cerqueira |
| author_sort | Nagib Matni |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T17:59:09Z |
| format | Article |
| id | doaj.art-28eb5b0d2c984dfa924ddc4dc59ebf98 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T17:59:09Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-28eb5b0d2c984dfa924ddc4dc59ebf982023-11-20T08:59:31ZengMDPI AGSensors1424-82202020-08-012015433610.3390/s20154336LoRaWAN Gateway Placement Model for Dynamic Internet of Things ScenariosNagib Matni0Jean Moraes1Helder Oliveira2Denis Rosário3Eduardo Cerqueira4Computer Science Faculty, Federal University of Pará, Rua Augusto Corrêa 01, 66075-110 Belém, BrazilComputer Science Faculty, Federal University of Pará, Rua Augusto Corrêa 01, 66075-110 Belém, BrazilComputer Science Faculty, Federal University of Pará, Rua Augusto Corrêa 01, 66075-110 Belém, BrazilComputer Science Faculty, Federal University of Pará, Rua Augusto Corrêa 01, 66075-110 Belém, BrazilComputer Science Faculty, Federal University of Pará, Rua Augusto Corrêa 01, 66075-110 Belém, BrazilExtended 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.https://www.mdpi.com/1424-8220/20/15/4336LoRaWANgateway placementscalabilityresiliencyIoT |
| spellingShingle | Nagib Matni Jean Moraes Helder Oliveira Denis Rosário Eduardo Cerqueira LoRaWAN Gateway Placement Model for Dynamic Internet of Things Scenarios Sensors LoRaWAN gateway placement scalability resiliency IoT |
| title | LoRaWAN Gateway Placement Model for Dynamic Internet of Things Scenarios |
| title_full | LoRaWAN Gateway Placement Model for Dynamic Internet of Things Scenarios |
| title_fullStr | LoRaWAN Gateway Placement Model for Dynamic Internet of Things Scenarios |
| title_full_unstemmed | LoRaWAN Gateway Placement Model for Dynamic Internet of Things Scenarios |
| title_short | LoRaWAN Gateway Placement Model for Dynamic Internet of Things Scenarios |
| title_sort | lorawan gateway placement model for dynamic internet of things scenarios |
| topic | LoRaWAN gateway placement scalability resiliency IoT |
| url | https://www.mdpi.com/1424-8220/20/15/4336 |
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