Smart City Gnosys
Smart city article details
| Title | Toward Edge-Based Caching In Software-Defined Heterogeneous Vehicular Networks |
|---|---|
| ID_Doc | 57673 |
| Authors | Mahmood A.; Zen H. |
| Year | 2018 |
| Published | Fog Computing: Concepts, Frameworks and Technologies |
| DOI | http://dx.doi.org/10.1007/978-3-319-94890-4_13 |
| Abstract | Considerable technological advancements and pervasive use of smart connected vehicles have highlighted the true potential of vehicular networks, which, in the realm of smart cities, assists in improvement of road safety and traffic management and efficiency. Coupled with this is the massive innovation realized in wireless networking technologies, and today, heterogeneous networks encompassing 4G LTE, Wi-Fi, WiMAX, DSRC, and Terahertz communication are taking shape, synergy of which not only promises higher bandwidth but also ensures low latent infrastructure critical for supporting diverse range of safety applications. Heterogeneity, on the other hand, has introduced new challenges too, e.g., in terms of network fragmentation, an unbalanced traffic flow in a multi-path topology, and inefficient utilization of network resources. Accordingly, the emerging yet promising paradigm of software-defined networking (SDN) has, of lately, been introduced to vehicular networks for addressing such bottlenecks, which through its logically centralized control ensures programmability, scalability, elasticity, and agility. Nevertheless, a centralized control in a distributed environment like vehicular networks could become a single point of network failure and may also result in significant network management overhead in case of extremely dense traffic scenarios. Therefore, leveraging edge-based caching in heterogeneous vehicular networks is indispensable. This chapter brings forward the notion of SDN-based heterogeneous vehicular networking and argues that edge-based caching can help overcome the bottlenecks posed by traditional networking architectures especially in terms of ensuring low latency for safety-critical applications. Finally, open challenges and probable solutions are discussed. © Springer International Publishing AG, part of Springer Nature 2018. |
| Author Keywords | Edge-based caching; Heterogeneous networking; Software-defined networks (SDN); Vehicular ad hoc networks (VANET) |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
5330  | 0.9 | Chahal M.; Harit S.; Mishra K.K.; Sangaiah A.K.; Zheng Z. | A Survey On Software-Defined Networking In Vehicular Ad Hoc Networks: Challenges, Applications And Use Cases | Sustainable Cities and Society, 35 (2017) |
| 5331 | 0.88 | Kumar R.; Agrawal N. | A Survey On Software-Defined Vehicular Networks (Sdvns): A Security Perspective | Journal of Supercomputing, 79, 8 (2023) |
| 60992 | 0.865 | Meneguette R.; De Grande R.; Ueyama J.; Filho G.P.R.; Madeira E. | Vehicular Edge Computing: Architecture, Resource Management, Security, And Challenges | ACM Computing Surveys, 55, 1 (2022) |
| 21801 | 0.863 | Laha M.; Kamble S.; Datta R. | Edge Nodes Placement In 5G Enabled Urban Vehicular Networks: A Centrality-Based Approach | 26th National Conference on Communications, NCC 2020 (2020) |
| 4440 | 0.862 | Huo L.; Jiang D.; Zhu X.; Wang Y.; Lv Z.; Singh S. | A Sdn-Based Fine-Grained Measurement And Modeling Approach To Vehicular Communication Network Traffic | International Journal of Communication Systems, 35, 12 (2022) |
| 14507 | 0.861 | Jalooli A.; Marefat A. | Cluster Stability-Driven Optimization For Enhanced Routing In Heterogeneous Vehicular Networks | Vehicular Communications, 47 (2024) |
| 22277 | 0.861 | Ahmed F.; Alsamani B.; Alkhathami M.; Alsadie D.; Alosaimi N.; Alenzi B.; Nkenyereye L. | Efficient Content Caching For 5G Assisted Vehicular Networks | Scientific Reports, 14, 1 (2024) |
| 23454 | 0.857 | Elgendy I.A. | Energy-Efficient And Secure Framework For Computation Offloading In Sustainable Vehicular Edge-Cloud Networks | 2024 IEEE Sustainable Power and Energy Conference, iSPEC 2024 (2024) |
| 25414 | 0.856 | El-Sayed, H; Chaqfeh, M | Exploiting Mobile Edge Computing For Enhancing Vehicular Applications In Smart Cities | SENSORS, 19, 5 (2019) |
| 21723 | 0.856 | Aujla G.S.; Kumar N.; Garg S.; Kaur K.; Ranjan R. | Edcsus: Sustainable Edge Data Centers As A Service In Sdn-Enabled Vehicular Environment | IEEE Transactions on Sustainable Computing, 7, 2 (2022) |