Abstract
—The mixed population of semWfuII-autonomous and conventional vehicles on the roads originates a heterogeneous network with moving nodes. Therefore, it is worth to explore the potential frameworks and challenges for the implementation of next generation Internet- of -Vehicles (IoVs) networks. In this paper, we have presented the potential frameworks of IoVs network for heterogeneous environment. Further, various simulation tools for mimicking and analyzing the IoVs network are presented and compared on the bases of their performance. Moreover, the key challenges for the implementation of IoVs networks except the challenges faced by conventional wireless ad-hoc networks are illustrated.
| Original language | English |
|---|---|
| Title of host publication | 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings |
| Editors | Sameerchand Pudaruth, Upasana Singh |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728167701 |
| DOIs | |
| Publication status | Published - Aug 2020 |
| Event | 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Durban, KwaZulu Natal, South Africa Duration: 6 Aug 2020 → 7 Aug 2020 |
Publication series
| Name | 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings |
|---|
Conference
| Conference | 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 |
|---|---|
| Country/Territory | South Africa |
| City | Durban, KwaZulu Natal |
| Period | 6/08/20 → 7/08/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Connected-Vehicles
- Dedicated Short Range Communication
- I nternet- of - Vehicles
- Industry 4.0
- Internet- of -Things
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Information Systems and Management
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