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ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
An Improved Content Centric Extended Kalman Filter Based Crowd Sensing In Vanet Using Vehicular Cloud Computing
Authors
  Satveer Kaur,   Amandeep Kaur

Abstract
The design a novel location aided routing protocol with the concept of baseline and distance minimization is presented in this paper. The protocol has been implemented successfully for a vehicular adhoc network and Manhattan model is utilized. The vehicular movement used a new concept of communication using minimization of distance from base line. The base line was drawn from source to destination node. The discussed protocol seems to work quite well and seems to yield encouraging results. The packet delivery ratio was increased significantly and the average delay was reduced significantly.

Keywords- VANET, Manhattan model, MANET
Publication Details
Unique Identification Number - IJEDR1602317
Page Number(s) - 1812-1819
Pubished in - Volume 4 | Issue 2 | June 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Satveer Kaur,   Amandeep Kaur,   "An Improved Content Centric Extended Kalman Filter Based Crowd Sensing In Vanet Using Vehicular Cloud Computing", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 2, pp.1812-1819, June 2016, Available at :http://www.ijedr.org/papers/IJEDR1602317.pdf
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