Smart City Gnosys

Smart city article details

Title A New Approach To Simulating Node Deployment For Smart City Applications Using Geospatial Data
ID_Doc 2984
Authors Senturk I.F.; Kebe G.Y.
Year 2019
Published 2019 International Symposium on Networks, Computers and Communications, ISNCC 2019
DOI http://dx.doi.org/10.1109/ISNCC.2019.8909101
Abstract The rapid urbanization combined with the continuing growth of the world's overall population entails efficient provisioning of services and infrastructure in the cities. Some of the challenges of this gradual shift can be addressed by the global phenomenon of smart cities. Despite various definitions, the concept refers to data-driven solutions to operate cities more efficiently. As the infrastructure requires constant data collection, sensors and various wireless communication technologies are the building blocks of smart cities. In this paper, we consider a smart city application to monitor the road network obtained through one of the volunteered geographic information (VGI) systems. To analyze the impact of the employed wireless communication technology on the network connectivity, we have deployed sensors to the infrastructure according to the obtained geospatial data and varied the transmission range of the sensors. The results show considerable decline in the number of occurred partitions and the minimum number of relay nodes required to ensure network-wide connectivity when the transmission range is increased. © 2019 IEEE.
Author Keywords Connectivity; Osm; Osmnx; Sensor deployment; Smart city; Volunteered geographic information


Similar Articles


Id Similarity Authors Title Published
6068 View0.879Costa D.G.; Bittencourt J.C.N.; Oliveira F.; Peixoto J.P.J.; Jesus T.C.Achieving Sustainable Smart Cities Through Geospatial Data-Driven ApproachesSustainability (Switzerland), 16, 2 (2024)
37900 View0.87Suleymanoglu B.; Toth C.; Masiero A.; Ladai A.Monitoring The Environment In Smart Cities: The Importance Of Geospatial Location ReferencingInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 48, M-1-2023 (2023)
458 View0.863Ben Rhaiem M.A.; Selmi M.; Farah I.R.; Bouzeghoub A.A Big Spatiotemporal Streaming Data Architecture For Smart City Crisis Monitoring Using VgiProceedings - 2022 2nd International Conference of Smart Systems and Emerging Technologies, SMARTTECH 2022 (2022)
37598 View0.861Musznicki B.; Piechowiak M.; Zwierzykowski P.Modeling Real-Life Urban Sensor Networks Based On Open DataSensors, 22, 23 (2022)
49793 View0.861Sacco D.; Motta G.; You L.-L.; Bertolazzo N.; Carini F.; Ma T.-Y.Smart Cities, Urban Sensing, And Big Data: Mining Geo-Location In Social NetworksBig Data and Smart Service Systems (2017)
42907 View0.86Agugiaro G.; Koeva M.; Wei T.; Biljecki F.Preface - Isprs Workshop On Advanced Geospatial Applications For Smart Cities And Regions (Smartgeoapps 2019)ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4, 2/W5 (2019)
42912 View0.86Agugiaro G.; Koeva M.; Wei T.; Biljecki F.Preface-Isprs Workshop On Advanced Geospatial Applications For Smart Cities And Regions (Smartgeoapps 2019)International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42, 2/W13 (2019)
50083 View0.859Ko E.; Jeong G.S.; Koo K.C.Smart City Based On Geospatial Information: Concept And Standardization ChallengesICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings (2023)
602 View0.859Gandhi J.; Narmawala Z.A Case Study On The Estimation Of Sensor Data Generation In Smart Cities And The Role Of Opportunistic Networks In Sensor Data CollectionPeer-to-Peer Networking and Applications, 17, 1 (2024)
50480 View0.858Ko E.; Jeong G.S.; Koo K.C.Smart City Service Analysis Based On Geospatial Information Technology Life CycleICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings (2023)