Smart City Gnosys
Smart city article details
| Title | On-Board Unit To Connect Personal Mobility Vehicles To The Iot |
|---|---|
| ID_Doc | 39978 |
| Authors | Santa J.; Bernal-Escobedo L.; Sanchez-Iborra R. |
| Year | 2020 |
| Published | Procedia Computer Science, 175 |
| DOI | http://dx.doi.org/10.1016/j.procs.2020.07.027 |
| Abstract | The basis of smart city services is urban sensing, i.e., the collection of data from sensors deployed in urban settings. However, it has been recently when mobile objects have started to be monitored to feed smart applications within the smart city ecosystems. Most of the advances in this area focus on gathering data from public transportation services such as buses or trams, which use to employ regular cellular or WiFi-based networks and state-of-the-art TCP/IP protocols. Although this covers a basic on-board equipment to report position and other sensor data, there is not a direct integration of Internet of Things (IoT) capabilities in urban transportation and, in general, in moving “things”. Communication technologies used in regular wireless sensor networks such as ZigBee or Bluetooth are not appropriate for high mobility patterns. The Internet of Vehicles (IoV) paradigm aims at filling these gaps, exploiting the synergy between IoT and vehicular networks. It is an emerging area in which extra efforts should be paid to cover constrained capabilities of end devices installed on personal mobility devices, e.g., scooters, segways or bicycles. The solution proposed here deals with the connectivity of moving objects by developing an on-board unit for energy-constrained vehicles, integrating communication capabilities using the Low-Power Wide Area Network (LPWAN) technologies Long Range Wide-area Network (LoRaWAN) and Narrow-Band IoT (NB-IoT) to efficiently collect data. A set of sensors are included to target services in the areas of urban mobility, enhanced environmental perception and speed-up of city operations. The on-board unit has been evaluated through real-life experiments to study especially its communication capabilities with NB-IoT, obtaining good performances in terms of packet delivery ratio and network delay under non-ideal coverage settings. Results show that NB-IoT presents better performances than LoRaWAN, as compared to our previous experiences, with negligible packet loss rates and two-way delays under 100 ms with Internet nodes, at the expense of needing a proper operator network deployment and consuming extra energy due to NB-IoT protocol complexity. © 2020 The Authors. |
| Author Keywords | Evaluation; IoV; LoRaWAN; LPWAN; NB-IoT; Personal mobility; Urban sensing |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
21614  | 0.906 | Sanchez-Iborra R.; Bernal-Escobedo L.; Santa J. | Eco-Efficient Mobility In Smart City Scenarios | Sustainability (Switzerland), 12, 20 (2020) |
| 4776 | 0.882 | Kadusic E.; Zivic N.; Ruland C.; Hadzajlic N. | A Smart Parking Solution By Integrating Nb-Iot Radio Communication Technology Into The Core Iot Platform | Future Internet, 14, 8 (2022) |
| 33101 | 0.881 | Mishra P.; Singh G. | Internet Of Vehicles For Sustainable Smart Cities: Opportunities, Issues, And Challenges | Smart Cities, 8, 3 (2025) |
| 18372 | 0.874 | Ang, LM; Seng, KP; Ijemaru, GK; Zungeru, AM | Deployment Of Iov For Smart Cities: Applications, Architecture, And Challenges | IEEE ACCESS, 7 (2019) |
| 8931 | 0.873 | França R.P.; Monteiro A.C.B.; Arthur R.; Iano Y. | An Overview Of Narrowband Internet Of Things (Nb-Iot) In The Modern Era | Principles and Applications of Narrowband Internet of Things (NBIoT) (2021) |
| 59890 | 0.87 | Jiménez P.; Santa J.; Rubio-Aparicio J.; Ramos E.; Martínez R.; Egea-López E. | Urban Crowdsensing By Personal Mobility Vehicles To Manage Air Pollution | Transportation Research Procedia, 71 (2023) |
| 39953 | 0.869 | Ferrari P.; Sisinni E.; Carvalho D.F.; Depari A.; Signoretti G.; Silva M.; Silva I.; Silva D. | On The Use Of Lorawan For The Internet Of Intelligent Vehicles In Smart City Scenarios | 2020 IEEE Sensors Applications Symposium, SAS 2020 - Proceedings (2020) |
| 15235 | 0.868 | Glam A.; Farbman B.; Ashkenazi I. | Complete Iot Solution For Smart Cities Using Lorawan Technology | 2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems, COMCAS 2021 (2021) |
| 38893 | 0.865 | Sarkar S. | Nb-Iot: Bler And Throughput Analysis In Downlink Physical Shared Channel | 3rd International Conference on Electronics and Sustainable Communication Systems, ICESC 2022 - Proceedings (2022) |
| 33102 | 0.86 | Jaiswal S.; Singh Y. | Internet Of Vehicles For Sustainable Smart Cities: Technologies, Challenges, And Future Perspectives | Driving Innovation at the Intersection of Renewable Energy and the Internet of Vehicles (2025) |