Open Access   Article Go Back

Emerging Data Transportation Scheme for V-CARS Architecture by Formulating the Data Delivery Process

Maddali M. V. M. Kumar1 , Shaik Farjana2

Section:Review Paper, Product Type: Journal Paper
Volume-7 , Issue-2 , Page no. 487-491, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i2.487491

Online published on Feb 28, 2019

Copyright © Maddali M. V. M. Kumar, Shaik Farjana . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Maddali M. V. M. Kumar, Shaik Farjana, “Emerging Data Transportation Scheme for V-CARS Architecture by Formulating the Data Delivery Process,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.487-491, 2019.

MLA Style Citation: Maddali M. V. M. Kumar, Shaik Farjana "Emerging Data Transportation Scheme for V-CARS Architecture by Formulating the Data Delivery Process." International Journal of Computer Sciences and Engineering 7.2 (2019): 487-491.

APA Style Citation: Maddali M. V. M. Kumar, Shaik Farjana, (2019). Emerging Data Transportation Scheme for V-CARS Architecture by Formulating the Data Delivery Process. International Journal of Computer Sciences and Engineering, 7(2), 487-491.

BibTex Style Citation:
@article{Kumar_2019,
author = {Maddali M. V. M. Kumar, Shaik Farjana},
title = {Emerging Data Transportation Scheme for V-CARS Architecture by Formulating the Data Delivery Process},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {487-491},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3692},
doi = {https://doi.org/10.26438/ijcse/v7i2.487491}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.487491}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3692
TI - Emerging Data Transportation Scheme for V-CARS Architecture by Formulating the Data Delivery Process
T2 - International Journal of Computer Sciences and Engineering
AU - Maddali M. V. M. Kumar, Shaik Farjana
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 487-491
IS - 2
VL - 7
SN - 2347-2693
ER -

VIEWS PDF XML
608 280 downloads 115 downloads
  
  
           

Abstract

Communication innovations supply the blood for shrewd city applications. In perspective of the consistently expanding remote traffic produced in brilliant urban communities and our effectively clogged Radio Access Systems (RANs), we have as of late planned an information transportation arrange, the Vehicular Cerebral Ability ReapingSystem (V-CARS), which misuses the collected range opportunity and the versatility opportunity offered by the gigantic number of vehicles venturing out in the city to not just offload delay-tolerant information from blocked RANs yet additionally bolster delay-tolerant information transportation for different savvy city applications. To make information transportation productive, in this paper, we build up a range aware(SA) information transportation conspire dependent on Markov choice procedures. Through broad reproductions, we show that, with the created information transportation conspire; the V-CARS is compelling in offering information transportation administrations notwithstanding its reliance on powerful assets, for example, vehicles and reaped range assets. The reenactment results additionally show the prevalence of the SA plot over existing plans. We expect the V-CARS to well supplement existing media transmission arranges in dealing with the exponentially expanding remote information traffic.

Key-Words / Index Term

Smart cities, data transportation, data offloading, vehicular networks, cerebral radios.

References

[1] S. Djahel, R. Doolan, G.-M. Muntean, and J. Murphy,“A communications-oriented perspective on traffic management systemsfor smart cities: Challenges and innovative approaches,” IEEE Commun.Surveys Tuts., vol. 17, no. 1, pp. 125–151, 1st Quart., 2015.
[2] N. Cheng et al. “Vehicle-assisted device-to-device data delivery forsmart grid,” IEEE Trans. Veh. Technol., vol. 65, no. 4, pp. 2325–2340,Apr. 2016.
[3] J. M. Batalla et al., “Efficient media streaming with collaborativeterminals for the smart city environment,” IEEE Commun. Mag., vol. 55,no. 1, pp. 98–104, Jan. 2017.
[4] C.-X. Wang et al., “Cellular architecture and key technologies for 5GWireless Comm.Networks,” IEEE Commun. Mag., vol. 52, no. 2,pp. 122–130, Feb. 2014.
[5] I. Yaqoob et al., “Enabling communication technologies for smart cities,”IEEE Commun. Mag., vol. 55, no. 1, pp. 112–120, Jan. 2017.
[6] D. Mazza, D. Tarchi, and G. E. Corazza, “A unified urban mobilecloud computing offloading mechanism for smart cities,” IEEE WirelessCommun., vol. 55, no. 3, pp. 30–37, Mar. 2017.
[7] H. Ding, C. Zhang, Y. Cai, and Y. Fang, “Smart cities on wheels:A newly emerging vehicular cognitive capability harvesting networkfor data transportation,” IEEE Wireless Commun., vol. 25, no. 2,pp. 160–169, Apr. 2018.
[8] F. Malandrino, C. Casetti, C.-F. Chiasserini, and M. Fiore, “Optimal contentdownloading in vehicular networks,” IEEE Trans. Mobile Comput.,vol. 12, no. 7, pp. 1377–1391, Jul. 2013.
[9] T. Han et al., “5G converged cell-less Communications in smart cities,”IEEE Commun. Mag., vol. 55, no. 3, pp. 44–50, Mar. 2017.
[10] A. Zanella, N. Bui, A. Castellani, L. Vangelista, and M. Zorzi, “Internetof Things for smart cities,” IEEE Internet Things J., vol. 1, no. 1,pp. 22–32, 2014.
[11] H. Yao et al., “Opportunistic offloading of deadline-constrained bulkcellular traffic in vehicular DTNs,” IEEE Trans. Comput., vol. 64, no. 12,pp. 3515–3527, Dec. 2015.
[12] F. Xu et al., “Utilizing shared vehicle trajectories for data forwarding invehicular networks,” in Proc. IEEE INFOCOM, Apr. 2011, pp. 441–445.
[13] K. Abboud, H. A. Omar, and W. Zhuang, “Interworking of DSRCand cellular network technologies for V2X communications: A survey,”IEEE Trans. Veh. Technol., vol. 65, no. 12, pp. 9457–9470, Dec. 2016.
[14] S. M. Tornell, C. T. Calafate, J.-C. Cano, and P. Manzoni, “DTN protocolsfor vehicular networks: An application oriented overview,” IEEECommun. Surveys Tuts., vol. 17, no. 2, pp. 868–887, 2015.
[15] T. Spyropoulos, K. Psounis, and C. S. Raghavendra, “Efficient routingin intermittently connected mobile networks: The multiple-copy case,”IEEE/ACM Trans. Netw., vol. 16, no. 1, pp. 77–90, Feb. 2008.
[16] H. Zhu, S. Chang, M. Li, K. Naik, and S. Shen, “Exploiting temporaldependency for opportunistic forwarding in urban vehicular networks,”in Proc. IEEE INFOCOM, Apr. 2011, pp. 2192–2200.
[17] H. Zhu et al., “ZOOM: Scaling the mobility for fast opportunisticforwarding in vehicular networks,” in Proc. IEEE INFOCOM, Apr. 2013,pp. 2832–2840.
[18] Maddali M.V.M. Kumar, Dr. Aparna Chaparala, "SEER - An Intelligent Double Tier Fuzzy Framework for the Selection of Cluster Heads Based on Spiritual Energies of Sensor Nodes", Springer International Conference on Computer Networks and Inventive Communication Technologies (ICCNCT - 2018), ISSN: 2367-4512., Vol: 15, ISBN: 978-981-10-8681-6
[19] Y. Wu, Y. Zhu, and B. Li, “Infrastructure-assisted routing in vehicularnetworks,” in Proc. IEEE INFOCOM, Mar. 2012, pp. 1485–1493.
[20] Y. Zhu, Y. Wu, and B. Li, “Trajectory improves data delivery in urbanvehicular networks,” IEEE Trans. Parallel Distributed System, vol. 25, no. 4,pp. 1089–1100, Apr. 2014.
[21] Maddali M. V. M. Kumar,Y. Lakshmi Kamakshi, "A Novel Approach to Secure Route Discovery for Dynamic Source Routing in MANETs", International Journal of Scientific Research in Computer Science, Engineering and Information Technology, ISSN: 2456-3307, Vol 3, Issue 1, pp.885-891, SJIF – 4.032, UGC Approved Journal No. 64718, Jan-Feb2018.
[22] Y. Wu, Y. Zhu, H. Zhu, and B. Li, “CCR: Capacity-constrained replicationfor data delivery in vehicular networks,” in Proc. IEEE INFOCOM,Apr. 2013, pp. 2580–2588.