| Title | IoTMapper: A Metrics Aggregation System Architecture in Support of Smart City Solutions |
|---|---|
| ID_Doc | 41187 |
| Authors | Vitorino, JP; Cruz, N |
| Title | IoTMapper: A Metrics Aggregation System Architecture in Support of Smart City Solutions |
| Year | 2022 |
| Published | Sensors, 22, 19 |
| Abstract | Smart cities are, nowadays, an unavoidable and growing reality, supported on software platforms that support city management, through the processing and presentation of a large number of data, obtained from sensors used throughout the cities. Low-power wide area networks (LPWAN) leverage the sensorization process; however, urban landscape, in turn, induces a high probability of change in the propagation conditions of the LPWAN network, thus requiring active monitoring solutions for assessing the city LPWAN network condition. Currently existing solutions usually consider the existence of only one type of LPWAN network to be monitored. In this paper, an architecture for aggregation of metrics from heterogeneous LPWAN networks is presented. The architecture, named IoTMapper, combines purpose build components with existing components from the FIWARE and Apache Kafka ecosystems. Implementation details for the LPWAN networks are abstracted by adapters so that new networks may be easily added. The validation was carried out using real data collected for long-range wide-area network (LoRaWAN) in Lisbon, and a simulated data set extrapolated from the collected data. The results indicate that the presented architecture is a viable solution for metrics aggregation that may be expanded to support multiple networks. However, some of the considered FIWARE components present performance bottlenecks that may hinder the scaling of the architecture while processing new message arrivals. |
| https://www.mdpi.com/1424-8220/22/19/7484/pdf?version=1665283553 |
Similar Articles
| ID | Score | Article |
|---|---|---|
43596
|
Piechowiak, M; Zwierzykowski, P; Musznicki, B LoRaWAN Metering Infrastructure Planning in Smart Cities(2023)Applied Sciences-Basel, 13, 14 | |
| 36446
|
Basford, PJ; Bulot, FMJ; Apetroaie-Cristea, M; Cox, SJ; Ossont, SJ LoRaWAN for Smart City IoT Deployments: A Long Term Evaluation(2020)Sensors, 20, 3 | |
| 45040
|
Borsos, D; Berek, L Challenges Of Lorawan Technology In Smart City Solutions(2022)Interdisciplinary Description Of Complex Systems, 20, 1 | |
| 45688
|
Yu, FH; Zhu, ZM; Fan, Z Study on the feasibility of LoRaWAN for smart city applications(2017) | |
| 45505
|
Sanchez-Gomez, J; Gallego-Madrid, J; Sanchez-Iborra, R; Skarmeta, A Performance Study of LoRaWAN for Smart-City Applications(2019) | |
| 38744
|
Ikpehai, A; Adebisi, B; Anoh, K Effects of Traffic Characteristics on Energy Consumption of IoT End Devices in Smart City(2018) | |
| 36483
|
Wang, H; Liu, YC; Wei, Y; He, YQ; Tsang, KF; Lai, LL; Lai, CS LP-INDEX: Explore the Best Practice of LPWAN Technologies in Smart City(2020) | |
| 42364
|
Poncela, J; Vlacheas, P; Giaffreda, R; De, S; Vecchio, M; Nechifor, S; Barco, R; Aguayo-Torres, MC; Stavroulaki, V; Moessner, K; Demestichas, P Smart Cities via Data Aggregation(2014)Wireless Personal Communications, 76, 2 | |
| 41852
|
Cilfone, A; Davoli, L; Ferrari, G Virtualizing LoRaWAN Nodes: a CoAP-based Approach(2019) | |
| 45003
|
Badii, C; Bellini, P; Cenni, D; Marazzini, M; Nesi, P; Pantaleo, G; Paolucci, M; Soderi, M; Zaza, I; Belay, EG; Hachem, F; Mesiti, M; Valtolina, S Snap4City: A Scalable IOT/IOE Platform for Developing Smart City Applications(2018) |