Modified C-DRIVE: Clustering based on direction in vehicular environment

Nitin Maslekar, Joseph Mouzna, Houda Labiod, Manoj Devisetty, Manohara Pai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

Efficiency applications in VANETs are focused on increasing the productivity of the road resources by managing the traffic flow and monitoring the road conditions. The performance of most such applications is dependent on an effective density estimation of the vehicles in the surroundings. Of the various methods, clustering demonstrates to be an effective concept to implement this. However due to high mobility a stable cluster, within a vehicular framework, is difficult to implement. In this work, we propose a new clusterhead election policy for direction based clustering algorithm C-DRIVE. This policy facilitates to attain better stability and thus accurate density estimation within the clusters. Simulation results show that the C-DRIVE is rendered stability through new clusterhead election policy by electing fewer clusterheads in the network. This supports for a better accuracy in density estimation with fewer overheads.

Original languageEnglish
Title of host publication2011 IEEE Intelligent Vehicles Symposium, IV'11
Pages845-850
Number of pages6
DOIs
Publication statusPublished - 01-08-2011
Event2011 IEEE Intelligent Vehicles Symposium, IV'11 - Baden-Baden, Germany
Duration: 05-06-201109-06-2011

Conference

Conference2011 IEEE Intelligent Vehicles Symposium, IV'11
CountryGermany
CityBaden-Baden
Period05-06-1109-06-11

Fingerprint

Density Estimation
Clustering
Elections
Vehicular Ad Hoc Networks
Traffic Flow
Clustering Methods
Clustering algorithms
Productivity
Clustering Algorithm
Monitoring
Resources
Dependent
Demonstrate
Policy
Simulation

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Automotive Engineering
  • Computer Science Applications

Cite this

Maslekar, N., Mouzna, J., Labiod, H., Devisetty, M., & Pai, M. (2011). Modified C-DRIVE: Clustering based on direction in vehicular environment. In 2011 IEEE Intelligent Vehicles Symposium, IV'11 (pp. 845-850). [5940509] https://doi.org/10.1109/IVS.2011.5940509
Maslekar, Nitin ; Mouzna, Joseph ; Labiod, Houda ; Devisetty, Manoj ; Pai, Manohara. / Modified C-DRIVE : Clustering based on direction in vehicular environment. 2011 IEEE Intelligent Vehicles Symposium, IV'11. 2011. pp. 845-850
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Maslekar, N, Mouzna, J, Labiod, H, Devisetty, M & Pai, M 2011, Modified C-DRIVE: Clustering based on direction in vehicular environment. in 2011 IEEE Intelligent Vehicles Symposium, IV'11., 5940509, pp. 845-850, 2011 IEEE Intelligent Vehicles Symposium, IV'11, Baden-Baden, Germany, 05-06-11. https://doi.org/10.1109/IVS.2011.5940509

Modified C-DRIVE : Clustering based on direction in vehicular environment. / Maslekar, Nitin; Mouzna, Joseph; Labiod, Houda; Devisetty, Manoj; Pai, Manohara.

2011 IEEE Intelligent Vehicles Symposium, IV'11. 2011. p. 845-850 5940509.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Maslekar N, Mouzna J, Labiod H, Devisetty M, Pai M. Modified C-DRIVE: Clustering based on direction in vehicular environment. In 2011 IEEE Intelligent Vehicles Symposium, IV'11. 2011. p. 845-850. 5940509 https://doi.org/10.1109/IVS.2011.5940509