| Title |
Addressing the Characteristics of Mobility Models in IoV for Smart City |
| ID_Doc |
38062 |
| Authors |
Chowdhary, N; Kaur, PD |
| Title |
Addressing the Characteristics of Mobility Models in IoV for Smart City |
| Year |
2016 |
| Published |
|
| DOI |
|
| Abstract |
Internet of Things (IOT), a notion of integrated and self-configuring devices, has pulled the attention of many researchers due to its surging popularity in recent years. Internet of Vehicles (IOV) is an important part of IOT when the prime focus is on vehicles as the underneath intelligent devices. The vehicle communication in IoV is being derived through Vehicular Ad-hoc Networks (VANETs). While simulating a VANET scenario, the movement of nodes directly influences the overall performance. This movement is defined under multiple heterogeneous mobility models. Continuous research is being performed in order to bring these mobility models to correspond mobility that is in close proximity to real world environment. This work evaluates different mobility models using multiple experimental setups built upon different simulation parameters. We provide a comprehensive comparison highlighting the effect of the mobility models on different network performance parameters. |
| Author Keywords |
Internet of Things; Internet of Vehicles; Smart City; VANETs; Mobility Model |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000393168500238 |
| WoS Category |
Automation & Control Systems; Computer Science, Theory & Methods; Telecommunications |
| Research Area |
Automation & Control Systems; Computer Science; Telecommunications |
| PDF |
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