LSSDVC a location-based VANET caching method with Semi-SDN paradigm
Vehicular Ad Hoc Networks (VANET) are anticipated to support a wide array of future applications, including accident warnings, traffic information exchange, and real-time navigation updates. However, as VANETs have evolved from Mobile Ad Hoc Networks (MANET), traditional communication methods in VANET face significant challenges due to the limited signal transmission range. Moreover, the highly dynamic topology of VANETs further complicates communication, requiring additional overhead for the successful delivery of communication packets to their intended destination nodes. This overhead can significantly impair both network performance and efficiency. To address these challenges, this paper introduces a novel caching method for VANETs that leverages the physical state of communication nodes and the popularity of data items, within the framework of the Semi- Software Defined Networking (Semi-SDN) paradigm. The proposed method, termed Location and Popularity-based Semi-SDN Vehicular Caching (LSSDVC), seeks to reduce communication overhead and enhance system Quality of Service (QoS). By integrating the Semi-SDN communication model into traditional VANETs and jointly considering the physical state of vehicle nodes and the popularity of data, LSSDVC improves the efficiency of data dissemination. Empirical experiments demonstrate that the proposed caching method outperforms existing benchmarks in terms of link load, delay, and one-hop hit ratio in both urban and highway environments
History
School
- Science
Department
- Computer Science
Published in
2024 IEEE 24th International Conference on Communication TechnologySource
2024 IEEE 24th International Conference on Communication TechnologyVersion
- AM (Accepted Manuscript)
Rights holder
© IEEEPublisher statement
This accepted manuscript will be made available under the Creative Commons Attribution licence (CC BY) under the JISC UK green open access agreement.Acceptance date
2024-09-23ISSN
1673-5447Publisher version
Language
- en