END-TO-END THROUGHPUT FOR VANET WITH AND WITHOUT CLOUD EFFECT

被引:1
|
作者
Minihi, Raghda Nazar [1 ]
AlSabbagh, Haider M. [1 ]
Al-Rizzo, Hussain [2 ]
Al-Omary, Alauddin [3 ]
机构
[1] Univ Basra, Dept Elect Engn, Coll Engn, Basrah, Iraq
[2] Univ Arkansas, Coll Engn & Informat Technol, Dept Syst Engn, Little Rock, AR 72204 USA
[3] Univ Bahrain, Dept Comp Engn, Coll IT, Zallaq, Bahrain
关键词
VANET; vehicular cloud; road side cloud; central cloud; multi-hop wireless network;
D O I
10.2478/ttj-2019-0005
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Vehicle Ad-hoc network (VANET) have sensing nodes moving with different speeds. The vehicular cloud is a group of vehicles communicating with each other to share the resources provided from the central cloud. The end-to-end throughput for multi-hop wireless network is analysed in this paper using a set of non-linear equations. The interference due to the hidden nodes and the neighbouring nodes is considered into computing the end-to-end throughput. The contention graph is used to clarify the connection among the nodes into the network to find the capacity of the individual links to facilitate estimating the end-to-end throughput. Effect of the cloud on the end-to-end throughput is also illustrated in this paper. The results show that the throughput with employing cloud is lower than that without using the cloud.
引用
收藏
页码:52 / 61
页数:10
相关论文
共 50 条
  • [41] SECUPerf: End-to-End Security and Performance Assessment of Cloud Services
    Xiong, Kaiqi
    Pantangi, Ajay
    Makati, Mufaddal
    [J]. 2016 IEEE TRUSTCOM/BIGDATASE/ISPA, 2016, : 1747 - 1752
  • [42] Ditto: End-to-End Application Cloning for Networked Cloud Services
    Liang, Mingyu
    Gan, Yu
    Li, Yueying
    Torres, Carlos
    Dhanotia, Abhishek
    Ketkar, Mahesh
    Delimitrou, Christina
    [J]. PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMMING LANGUAGES AND OPERATING SYSTEMS, VOL 2, ASPLOS 2023, 2023, : 222 - 236
  • [43] Towards a Holistic Cloud System with End-to-End Performance Guarantees
    Andreoli, Remo
    Cucinotta, Tommaso
    [J]. 2023 IEEE INTERNATIONAL CONFERENCE ON CLOUD ENGINEERING, IC2E, 2023, : 236 - 238
  • [44] End-to-end elasticity control of cloud-network slices
    Medeiros, Alisson
    Neto, Augusto
    Sampaio, Silvio
    Pasquini, Rafael
    Baliosian, Javier
    [J]. INTERNET TECHNOLOGY LETTERS, 2019, 2 (04)
  • [45] End-to-End Cloud-Based ERP is the New Now
    Hansen, Christine
    [J]. WELDING JOURNAL, 2020, 99 (11) : 34 - 36
  • [46] End-to-end reproducible AI pipelines in radiology using the cloud
    Bontempi, Dennis
    Nuernberg, Leonard
    Pai, Suraj
    Krishnaswamy, Deepa
    Thiriveedhi, Vamsi
    Hosny, Ahmed
    Mak, Raymond H.
    Farahani, Keyvan
    Kikinis, Ron
    Fedorov, Andrey
    Aerts, Hugo J. W. L.
    [J]. NATURE COMMUNICATIONS, 2024, 15 (01)
  • [47] EasyDist: An End-to-End Distributed Deep Learning Tool for Cloud
    Natu, Varun
    Ghosh, Rahul
    [J]. PROCEEDINGS OF THE 6TH ACM IKDD CODS AND 24TH COMAD, 2019, : 265 - 268
  • [48] Improved End-to-End Data Security Approach for Cloud Computing
    Ghosh, Soumalya
    Verma, Shiv Kumar
    Ghosh, Uttam
    Al-Numay, Mohammed
    [J]. SUSTAINABILITY, 2023, 15 (22)
  • [49] End-to-End QoS Mapping and Aggregation for Selecting Cloud Services
    Karim, Raed
    Ding, Chen
    Miri, Ali
    Liu, Xumin
    [J]. PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON COLLABORATION TECHNOLOGIES AND SYSTEMS (CTS), 2014, : 515 - 522
  • [50] The end of end-to-end?
    Garfinkel, S
    [J]. TECHNOLOGY REVIEW, 2003, 106 (06) : 30 - 30