Smart City Gnosys
Smart city article details
| Title | Digital Twin For Smart Wireless Sensor Networks |
|---|---|
| ID_Doc | 20198 |
| Authors | Adeniyi A.E.; Aworinde H.O.; Olanloye O.D.; Awotunde J.B.; Olorunfemi B.O.; Falola P.B.; Babalola J. |
| Year | 2025 |
| Published | Blockchain and Digital Twin for Smart Healthcare |
| DOI | http://dx.doi.org/10.1016/B978-0-443-30300-5.00017-8 |
| Abstract | Digital twins (DTs) are new, dynamic virtual reality replicas that mimic physical reality moments- transforming many industries along the way. This chapter explores what DTs concept, practical applications, challenges, and what may lie ahead especially when applied in the smart wireless sensor networks (WSNs) landscape. To enable simple supervision, prediction, and enhancement of compound systems, computerized replicas need to helplessly watch each other during real-time integration with the World Wide Web, artificial intelligence, device learning, machine learning, and progressive statistics analysis. There is a detailed definition of DTs in WSNs in this chapter. It includes the primary components like physical and virtual sensors, communication infrastructure, data analytics, and user interfaces as well as other important aspects like data integration and management, which are crucial since they stress how efficient strategies would be implemented to handle heterogeneous data obtained from different sensor nodes. In addition, the chapter discusses how using DTs could improve predictive maintenance strategies by anticipating and then lowering downtimes; in effect, leading to lower maintenance expenditures. The chapter also discusses how important DTs have been in evolving Internet of Things and Industry 4.0, noting that they play important roles in automating processes through optimization and facilitating digital transformation in various industries. Moreover, upon increasing network sizes, concerns on how to scale DT solutions are addressed here while considering potential alternatives that may ensure scalability and the ability to support large-scale deployments as well. In conclusion, the chapter does not fully discuss DTs’ transformative nature but also goes a step further to give a comprehensive guideline on how they are incorporated into smart WSNs and other new technologies. A foundation has been laid down for upcoming research and advancement which seeks to solve the problems we have today as well as create room for new sources of innovation and productivity gains in many areas. © 2025 Elsevier Inc. All rights reserved. |
| Author Keywords | artificial intelligence; digital twin; Industrial Internet of Things; IoT; machine learning; robotics; security and privacy; smart city; technology; WSN sensor |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
7325  | 0.935 | Kalyanaraman S.; Ponnusamy S.; Harish R.K. | Amplifying Digital Twins Through The Integration Of Wireless Sensor Networks: In-Depth Exploration | Digital Twin Technology and AI Implementations in Future-Focused Businesses (2024) |
| 20241 | 0.93 | Tyagi A.K.; Richa; Tiwari S.; Kumari S. | Digital Twin Technology For Smart Wireless Sensor Networks | Human-Centric Integration of Next-Generation Data Science and Blockchain Technology: Advancing Society 5.0 Paradigms (2025) |
| 20315 | 0.913 | Shafik W. | Digital Twins Tools And Technologies | Digital Twins for Smart Cities and Villages (2024) |
| 20320 | 0.893 | Cali U.; Dimd B.D.; Hajialigol P.; Moazami A.; Gourisetti S.N.G.; Lobaccaro G.; Aghaei M. | Digital Twins: Shaping The Future Of Energy Systems And Smart Cities Through Cybersecurity, Efficiency, And Sustainability | 2023 International Conference on Future Energy Solutions, FES 2023 (2023) |
| 52672 | 0.893 | Hakiri A.; Ben Yahia S.; Gokhale A.S.; Mellouli N. | Special Issue On Digital Twin For Future Networks And Emerging Iot Applications (Dt4Iot) | Future Generation Computer Systems, 161 (2024) |
| 20218 | 0.888 | Wu Y.; Zhang K.; Zhang Y. | Digital Twin Networks: A Survey | IEEE Internet of Things Journal, 8, 18 (2021) |
| 20260 | 0.888 | Wang H.; Chen X.; Jia F.; Cheng X. | Digital Twin-Supported Smart City: Status, Challenges And Future Research Directions | Expert Systems with Applications, 217 (2023) |
| 49709 | 0.887 | Koithyar A.; Venkataramana A.; Kavin B.P.; Seng G.H. | Smart Cities Using Digital Twins And Industrial Iot Based Technologies: Tools And Products From The Industry Sector | Digital Twins in Industrial Production and Smart Manufacturing: An Understanding of Principles, Enhancers, and Obstacles (2024) |
| 3016 | 0.885 | Mostaq Hossain S.M.; Saha S.K.; Banik S.; Banik T. | A New Era Of Mobility: Exploring Digital Twin Applications In Autonomous Vehicular Systems | 2023 IEEE World AI IoT Congress, AIIoT 2023 (2023) |
| 14610 | 0.881 | Davoli L.; Ramzan H.H.M.; Belli L.; Ferrari G. | Coap-Based Digital Twin Modelling Of Heterogeneous Iot Scenarios | Proceedings of the International Food Operations and Processing Simulation Workshop, FOODOPS, 2024-September (2024) |