Smart City Gnosys
Smart city article details
| Title | Data Acquisition Techniques From Iot Devices For Smart Transportation: A Brief Overview |
|---|---|
| ID_Doc | 17133 |
| Authors | Ranjith V.; Malagi K.B. |
| Year | 2023 |
| Published | Lecture Notes in Networks and Systems, 517 |
| DOI | http://dx.doi.org/10.1007/978-981-19-5224-1_6 |
| Abstract | Internet of Things has revolutionized the entire world these days. With the advent of the word smart in all the fields, for example, the smart city, huge amount of data gets accumulated every single day. For any application, processing this huge amount of data is very important. Prior to processing, acquisition of this bulk amount of data is very important. In the existing research, there are different ways to collect these data. In this paper, data acquisition using different modern approaches is outlined. These approaches encompass data acquisition using hierarchical deep reinforcement learning, data acquisition using energy efficient UAV, data acquisition using swarm intelligence. This paper outlines these approaches, brings out the assets and liabilities of each one of these approaches for smart com. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. |
| Author Keywords | Blockchain; Deep reinforcement learning; MADOL; SADOL; UAV |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
40830  | 0.851 | Cui Y.; Lei D. | Optimizing Internet Of Things-Based Intelligent Transportation System'S Information Acquisition Using Deep Learning | IEEE Access, 11 (2023) |
| 4246 | 0.85 | Choudhary D.; Kumar S. | A Review On Data Collection Strategy And Power Consumption Using Mobile Vehicles And Uavs In Smart Cities | E3S Web of Conferences, 477 (2024) |
| 17221 | 0.85 | Alam F.; Mehmood R.; Katib I.; Albogami N.N.; Albeshri A. | Data Fusion And Iot For Smart Ubiquitous Environments: A Survey | IEEE Access, 5 (2017) |