Smart City Gnosys

Smart city article details

Title	Towards A Smart Data Transmission Strategy For Iot Monitoring Systems: Application To Air Quality Monitoring
ID_Doc	57924
Authors	Lounas R.; Salhi D.E.; Mokrani H.; Djerbi R.; Bennai M.T.
Year	2019
Published	2019 International Conference on Theoretical and Applicative Aspects of Computer Science, ICTAACS 2019
DOI	http://dx.doi.org/10.1109/ICTAACS48474.2019.8988119
Abstract	In the modern digital area, Internet of Things (IoT) is increasingly gathering attention for the implementation of applications in several aspects of everyday activities, intending to make our cities smarter and more comfortable. Therefore, the implementation of these IoT applications raises several challenges to overcome. One of these challenges is the efficient use of resources at each stage of the application, such as acquisition, storage, processing, and networking. In smart cities, many IoT monitoring systems continuously generate large amounts of data. These data volumes, before they can be processed and responded, must first be transmitted through the city's networks (Wifi, Bluetooth, LTE). To deal with this considerable amount of continually transmitted data and to reduce the load on networks, we propose an approach based on the efficient use of data compression in IoT systems. This approach uses a data compression smart strategy to reduce the transmitted data during the acquisition process and thus minimize the use of network resources while providing the user with relevant information in real-time using a prioritization mechanism. In order to show the efficiency of our proposal, we conducted experiments on a case study of an air quality monitoring system. © 2019 IEEE.
Author Keywords	Data Acquisition; Data Compression; Data Transmission; Internet of Things; Monitoring Systems

Similar Articles

Id	Similarity	Authors	Title	Published
33765	0.876	Hossain K.; Rahman M.; Roy S.	Iot Data Compression And Optimization Techniques In Cloud Storage: Current Prospects And Future Directions	Research Anthology on Convergence of Blockchain, Internet of Things, and Security (2022)
33624	0.872	Sokullu R.; Balci A.; Yildiz O.	Iot Applications And Protocols: An Air Quality Monitoring Example	2020 7th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2020 - Proceedings (2020)
35304	0.872	Vaananen O.; Hamalainen T.	Linearity-Based Sensor Data Online Compression Methods For Environmental Applications	Proceedings - 2023 6th Conference on Cloud and Internet of Things, CIoT 2023 (2023)
23238	0.871	Wala T.; Chand N.; Sharma A.K.	Energy Efficient Data Collection In Smart Cities Using Iot	Advances in Intelligent Systems and Computing, 1132 (2020)
24277	0.866	Yusuf Sarwar Uddin Md.; Venkatasubramanian N.	Enviroscale: Resilient Data Collection For Air Quality Monitoring In Developing Cities	TESCA 2019 - Proceedings of the 2019 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019 (2019)
5761	0.865	Khedo K.K.; Shenoy P.; Zeadally K.; Awotar K.; Ramdani L.	A Vehicular Internet Of Things (Iot) System For High-Granularity Air Quality Monitoring In Smart Cities	EAI/Springer Innovations in Communication and Computing (2020)
56591	0.863	Pradhan A.; Unhelkar B.	The Role Of Iot In Smart Cities: Challenges Of Air Quality Mass Sensor Technology For Sustainable Solutions	Security and Privacy Issues in IoT Devices and Sensor Networks (2020)
40080	0.862	Sanghavi J.; Jadeja D.; Mehta V.; Vakil A.; Lalwani J.; Shah M.	Online Stream Processing And Multimedia-Oriented Iot: Tools For Sustainable Development Of Smart Cities	Studies in Big Data, 108 (2022)
17322	0.858	Julio H. Buelvas P.; Fernando E. Avila B.; Natalia Gaviria G.; Danny A. Munera R.	Data Quality Estimation In A Smart City'S Air Quality Monitoring Iot Application	2021 2nd Sustainable Cities Latin America Conference, SCLA 2021 (2021)
15359	0.858	Djelouat H.; Amira A.; Bensaali F.	Compressive Sensing-Based Iot Applications: A Review	Journal of Sensor and Actuator Networks, 7, 4 (2018)