Smart City Gnosys

Smart city article details

Title Modern Resource Conservation Strategies To Develop Multifaceted Applications Of Wireless Sensor Networks: A Review
ID_Doc 37754
Authors Jagan G.C.; Jayarin P.J.
Year 2022
Published 2022 International Conference on Communication, Computing and Internet of Things, IC3IoT 2022 - Proceedings
DOI http://dx.doi.org/10.1109/IC3IOT53935.2022.9767912
Abstract The terms data and internet are seen as key ingredients today in developing IoT enabled wireless infrastructure to connect digital machines across the globe. As of now wireless sensor networks form a vital platform to perform 5G and 6G computing such that huge amount of data has been delivered across millions of customers by several services namely IoMT (Internet of Medical Things), IoT for industry, environment monitoring, pollution control, surveillance and etc. There are already a vast number of literature works carried out on portraying WSN features and flexibilities concurrently focusing on uprising challenges in the context of possible future expansions. In this survey, authors consider the very persistent WSN metrics such as energy efficiency, latency and throughput to compare with some of the existing works. The work does also perform certain observations on existing machine learning techniques, optimization algorithms in developing particular WSN architecture in sectors like medical infrastructure, industrial process control, solid waste management and smart city construction to mention a few. The work highlights the significance of existing new age trends and strategic approaches of WSN infrastructure development © 2022 IEEE.
Author Keywords Energy conservation; IoT; Low complexity; Machine learning; WSN


Similar Articles


Id Similarity Authors Title Published
62081 View0.879Rani S.; Taneja A.Wsn And Iot: An Integrated Approach For Smart ApplicationsWSN and IoT: An Integrated Approach for Smart Applications (2024)
61993 View0.876Sheeja Rani S.; Aburukba R.; El Fakih K.Wireless Sensor Networks For Urban Development: A Study Of Applications, Challenges, And Performance MetricsSmart Cities, 8, 3 (2025)
44397 View0.869Swaminathan S.; Poongavanam N.; Arun M.; Pushparani S.; Muthukrishnan A.; Johri P.Real-Time Monitoring And Control Systems Using Iot-Integrated Wireless Sensor Networks-Leveraging Machine Learning Algorithms For Enhanced Performance And Efficiency2024 International Conference on Cybernation and Computation, CYBERCOM 2024 (2024)
17231 View0.869Gurewitz O.; Shifrin M.; Dvir E.Data Gathering Techniques In Wsn: A Cross-Layer ViewSensors, 22, 7 (2022)
36002 View0.868Sharma H.; Haque A.; Blaabjerg F.Machine Learning In Wireless Sensor Networks For Smart Cities: A SurveyElectronics (Switzerland), 10, 9 (2021)
33272 View0.868Maini J.; Rani S.Introduction To Iot And WsnWSN and IoT: An Integrated Approach for Smart Applications (2024)
13463 View0.865Tyagi L.K.; Kumar A.Case Study:A Comparative Survey On Wireless Sensor Networks2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023 (2023)
32016 View0.865khan S.; Mazhar T.; Shahzad T.; Ghadi Y.Y.; Hamam H.Integrating Iot And Wsn: Enhancing Quality Of Service Through Energy Efficiency, Scalability, And Secure Communication In Smart SystemsPeer-to-Peer Networking and Applications, 18, 5 (2025)
18381 View0.865Mujica G.; Portilla J.; Riesgo T.Deployment Strategies Of Wireless Sensor Networks For Iot: Challenges, Trends, And Solutions Based On Novel Tools And Hw/Sw PlatformsComponents and Services for IoT Platforms: Paving the Way for IoT Standards (2016)
899 View0.864Priyadarshi R.; Ranjan R.; Vishwakarma A.K.; Kumar R.R.A Comprehensive Overview Of Transformative Potential Of Machine Learning And Wireless Sensor Networks In Sustainable Urban Development2024 International Conference on Intelligent Systems for Cybersecurity, ISCS 2024 (2024)