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Published on: November 26, 2019
Roadside Unit Deployment in Internet of Vehicles Systems: A Survey
Abderrahim Guerna1, Salim Bitam2, Carlos T Calafate3
1Department of Computer Science, Mohamed Boudiaf University of M'sila, M'sila 28000, Algeria.
Optimizing roadside unit (RSU) deployment in the Internet of Vehicles (IoV) is crucial for balancing performance and cost. This survey reviews static and dynamic RSU placement strategies for continuous connectivity and improved road safety.
Area of Science:
- Computer Science
- Electrical Engineering
- Telecommunications
Background:
- The Internet of Vehicles (IoV) aims to enhance road safety and vehicle security by meeting digital demands.
- Highly dynamic network topology in IoV causes transmission discontinuities, a significant challenge.
- Roadside Units (RSUs) are vital infrastructure components for providing continuous transmission coverage and connectivity in IoV.
Purpose of the Study:
- To conduct an in-depth survey of Roadside Unit (RSU) deployment strategies in Internet of Vehicles (IoV) networks.
- To analyze research trends, compare existing RSU deployment schemes (static and dynamic), and discuss networking metrics.
- To identify challenges in balancing IoV performance, cost, and Quality of Service (QoS) for optimal vehicle service coverage.
Main Methods:
- Comprehensive literature review of RSU deployment in IoV.
- Categorization of RSU deployment into static and dynamic approaches.
- Comparative analysis of existing RSU placement schemes and relevant networking metrics.
Main Results:
- RSU performance is significantly influenced by factors including road geometry, segment characteristics (e.g., accident-prone areas), wireless access methods, mobility models, and spatio-temporal vehicle distribution.
- Both static and dynamic RSU deployment strategies have distinct strengths and limitations.
- A trade-off exists between IoV performance and deployment cost when determining optimal RSU placement for desired QoS.
Conclusions:
- The effectiveness of RSU placement solutions is context-dependent, requiring careful consideration of environmental and operational factors.
- Further research is needed to address the complexities of RSU deployment for enhanced IoV services.
- Future research directions include exploring advanced placement algorithms and adaptive strategies for dynamic RSU deployment.
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