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Author:

Ke, Wang (Ke, Wang.) | Yang, Wei-Dong (Yang, Wei-Dong.) | Liu, Ji-Zhao (Liu, Ji-Zhao.) | Zhang, Dan-Tuo (Zhang, Dan-Tuo.)

Indexed by:

EI Scopus

Abstract:

The fast moving of nodes will cause the frequent change of network topology which makes the data dissemination of VANET (Vehicular Ad-hoc Networks) challenging. This paper proposes a data dissemination strategy which is called the Adaptive Connectivity Data Dissemination Scheme (ACDDS), that is, the nodes calculate the network connectivity in current areas by the distributed nodes density perception algorithm, then hop limit function is established on the basis of the Euclidean distance and nodes density between the nodes and hotspot, meanwhile, the hop count of the message transmitted will be limited dynamically in order to reduce the duplication of message copies in the hotspot areas, according to which, the number of redundant massages copies will be reduced effectively. The result of simulation experiment shows that the delivery ratio and delay of proposed scheme are close to the epidemic routing protocol, but the number of message copies can be reduced by 37.5%, which effectively compromise the relationships of the three. © 2011 IEEE.

Keyword:

Vehicular ad hoc networks Information dissemination Artificial intelligence

Author Community:

  • [ 1 ] [Ke, Wang]College of Computer Science and Technology, Wuhan University of Technology, Wuhan Hubei 430070, China
  • [ 2 ] [Ke, Wang]College of Information Science and Engineering, Henan University of Technology, Zhengzhou Henan 450001, China
  • [ 3 ] [Yang, Wei-Dong]College of Information Science and Engineering, Henan University of Technology, Zhengzhou Henan 450001, China
  • [ 4 ] [Liu, Ji-Zhao]College of Information Science and Engineering, Henan University of Technology, Zhengzhou Henan 450001, China
  • [ 5 ] [Zhang, Dan-Tuo]School of Software Engineering, Beijing University of Technology, Beijing 100022, China

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Year: 2011

Page: 531-535

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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