Towards minimizing delay and energy consumption in vehicular fog computing (VFC)

[1]  Yasir Saleem,et al.  Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions , 2017, IEEE Access.

[2]  Depeng Jin,et al.  Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures , 2016, IEEE Transactions on Vehicular Technology.

[3]  Wenzhong Li,et al.  Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing , 2015, IEEE/ACM Transactions on Networking.

[4]  N. Krishnaveni Survey on Dynamic Resource Allocation Strategy in Cloud Computing Environment , 2013 .

[5]  Z. Dong,et al.  A Modified Differential Evolution Algorithm With Fitness Sharing for Power System Planning , 2008, IEEE Transactions on Power Systems.

[6]  Roberto Beraldi,et al.  Cooperative load balancing scheme for edge computing resources , 2017, 2017 Second International Conference on Fog and Mobile Edge Computing (FMEC).

[7]  M. M. Sufyan Beg,et al.  Vehicular Fog Computing-Planning and Design , 2020 .

[8]  Fan Zhang,et al.  sharedCharging: Data-Driven Shared Charging for Large-Scale Heterogeneous Electric Vehicle Fleets , 2019, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

[9]  Mohammad Saad Alam,et al.  Big Data Analytics Platforms for Electric Vehicle Integration in Transport Oriented Smart Cities: Computing Platforms for Platforms for Electric Vehicle Integration in Smart Cities , 2019, Int. J. Digit. Crime Forensics.

[10]  Yacine Ghamri-Doudane,et al.  Software defined networking-based vehicular Adhoc Network with Fog Computing , 2015, 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM).

[11]  Sudip Misra,et al.  Assessment of the Suitability of Fog Computing in the Context of Internet of Things , 2018, IEEE Transactions on Cloud Computing.

[12]  G.E. Kaiser,et al.  A network architecture for reliable distributed computing , 1987, IEEE Network.

[13]  Mirza Mohd. Sufyan Beg,et al.  Using Vehicles as Fog Infrastructures for Transportation Cyber-Physical Systems (T-CPS): Fog Computing for Vehicular Networks , 2019, Int. J. Softw. Sci. Comput. Intell..

[14]  Yann Guédon,et al.  Hidden hybrid Markov/semi-Markov chains , 2005, Comput. Stat. Data Anal..

[15]  Chin-Teng Lin,et al.  Internet of Vehicles: Motivation, Layered Architecture, Network Model, Challenges, and Future Aspects , 2016, IEEE Access.

[16]  Cheng Huang,et al.  Vehicular Fog Computing: Architecture, Use Case, and Security and Forensic Challenges , 2017, IEEE Communications Magazine.

[17]  Jean-Pierre Hubaux,et al.  Minimum-energy broadcast in all-wireless networks: NP-completeness and distribution issues , 2002, MobiCom '02.

[18]  Haiyun Luo,et al.  Energy-optimal mobile application execution: Taming resource-poor mobile devices with cloud clones , 2012, 2012 Proceedings IEEE INFOCOM.

[19]  Mohammad Saad Alam,et al.  Feasibility of Fog Computing in Smart Grid Architectures , 2018, Proceedings of 2nd International Conference on Communication, Computing and Networking.

[20]  Jun Huang,et al.  Vehicular Fog Computing: Enabling Real-Time Traffic Management for Smart Cities , 2019, IEEE Wireless Communications.

[21]  M. M. Sufyan Beg,et al.  Fog Computing for Internet of Things (IoT)-Aided Smart Grid Architectures , 2019, Big Data Cogn. Comput..

[22]  Abdelhamid Mellouk,et al.  ITS-cloud: Cloud computing for Intelligent transportation system , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[23]  Gerhard J. Woeginger,et al.  Exact Algorithms for NP-Hard Problems: A Survey , 2001, Combinatorial Optimization.