| Title | Toward Integrating Vehicular Clouds with IoT for Smart City Services |
|---|---|
| ID_Doc | 38147 |
| Authors | Khattak, HA; Farman, H; Jan, B; Din, IU |
| Title | Toward Integrating Vehicular Clouds with IoT for Smart City Services |
| Year | 2019 |
| Published | Ieee Network, 33, 2 |
| Abstract | Vehicular ad hoc networks, cloud computing, and the Internet of Things are among the emerging technology enablers offering a wide array of new application possibilities in smart urban spaces. These applications consist of smart building automation systems, healthcare monitoring systems, and intelligent and connected transportation, among others. The integration of IoT-based vehicular technologies will enrich services that are eventually going to ignite the proliferation of exciting and even more advanced technological marvels. However, depending on different requirements and design models for networking and architecture, such integration needs the development of newer communication architectures and frameworks. This work proposes a novel framework for architectural and communication design to effectively integrate vehicular networking clouds with IoT, referred to as VCoT, to materialize new applications that provision various IoT services through vehicular clouds. In this article, we particularly put emphasis on smart city applications deployed, operated, and controlled through LoRaWAN-based vehicular networks. LoraWAN, being a new technology, provides efficient and long-range communication possibilities. The article also discusses possible research issues in such an integration including data aggregation, security, privacy, data quality, and network coverage. These issues must be addressed in order to realize the VCoT paradigm deployment, and to provide insights for investors and key stakeholders in VCoT service provisioning. The article presents deep insights for different real-world application scenarios (i.e., smart homes, intelligent traffic light, and smart city) using VCoT for general control and automation along with their associated challenges. It also presents initial insights, through preliminary results, regarding data and resource management in IoT-based resource constrained environments through vehicular clouds. |
Similar Articles
| ID | Score | Article |
|---|---|---|
38011
|
Twahirwa, E; Rwigema, J; Datta, R Design and Deployment of Vehicular Internet of Things for Smart City Applications(2022)Sustainability, 14, 1 | |
| 42011
|
Ang, LM; Seng, KP; Ijemaru, GK; Zungeru, AM Deployment of IoV for Smart Cities: Applications, Architecture, and Challenges(2019) | |
| 38541
|
Ferrari, P; Sisinni, E; Carvalho, DF; 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) | |
| 42048
|
Al-Turjman, F; Lemayian, JP Intelligence, security, and vehicular sensor networks in internet of things (IoT)-enabled smart-cities: An overview(2020) | |
| 41249
|
Limbasiya, T; Das, D; Sahay, SK Secure Communication Protocol for Smart Transportation Based on Vehicular Cloud(2019) | |
| 36328
|
Saleem, MA; Zhou, SJ; Sharif, A Data Transmission Using IoT in Vehicular Ad-Hoc Networks in Smart City Congestion(2019)Mobile Networks & Applications, 24, 1 | |
| 40070
|
Vinodhini, M; Rajkumar, S; Subramaniam, SK Real-time Internet of LoRa Things (IoLT)-based accident detection and prevention system in vehicular networks towards smart city(2023) | |
| 42347
|
Bellaouar, S; Guerroumi, M; Derhab, A; Moussaoui, S Towards Heterogeneous Architectures of Hybrid Vehicular Sensor Networks for Smart Cities(2018) | |
| 40549
|
Li, H; Liu, YH; Qin, Z; Rong, HG; Liu, Q A Large-Scale Urban Vehicular Network Framework for IoT in Smart Cities(2019) | |
| 36881
|
Ghanshala, KK; Sharma, S; Mohan, S; Joshi, RC Cloud-Based Cognitive Radio Adhoc Vehicular Network Architecture: A Next-Generation Smart City(2018) |