Ivan Cilic, D. Kreković, Ivana Podnar Žarko, M. Kusek
{"title":"Distributed Location-Aware IoT Device Control Based on Indoor Positioning","authors":"Ivan Cilic, D. Kreković, Ivana Podnar Žarko, M. Kusek","doi":"10.1109/ConTEL58387.2023.10198914","DOIUrl":null,"url":null,"abstract":"The proliferation of Internet of Things (IoT) devices has led to an increasing demand for effective device management. Distributed IoT device management solutions aim to move device management from centralized clouds to the network edge, closer to IoT devices, to improve solution scalability as well as privacy and security for both devices and generated data. However, this leads to the new problem of how to assign a specific device management instance to a client so that it is able to control and interact with devices in its proximity in the context of smart indoor spaces. In this paper, we propose an architecture for distributed and location-aware IoT device control based on indoor positioning. The architecture enables direct and edge-based interaction with IoT devices in the client's proximity based on its indoor location. Finally, we provide a proof-of-concept implementation through a smart campus case study to demonstrate and evaluate the proposed architecture in a real-world environment.","PeriodicalId":311611,"journal":{"name":"2023 17th International Conference on Telecommunications (ConTEL)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 17th International Conference on Telecommunications (ConTEL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ConTEL58387.2023.10198914","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The proliferation of Internet of Things (IoT) devices has led to an increasing demand for effective device management. Distributed IoT device management solutions aim to move device management from centralized clouds to the network edge, closer to IoT devices, to improve solution scalability as well as privacy and security for both devices and generated data. However, this leads to the new problem of how to assign a specific device management instance to a client so that it is able to control and interact with devices in its proximity in the context of smart indoor spaces. In this paper, we propose an architecture for distributed and location-aware IoT device control based on indoor positioning. The architecture enables direct and edge-based interaction with IoT devices in the client's proximity based on its indoor location. Finally, we provide a proof-of-concept implementation through a smart campus case study to demonstrate and evaluate the proposed architecture in a real-world environment.