An efficient up-link load reduction model based on clustering in vanets

Abbas Al-Sallami, Ali Hashim (2019) An efficient up-link load reduction model based on clustering in vanets. Doctoral thesis, Universiti Tun Hussein Onn Malaysia.


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Vehicular Ad Hoc Networks (VANETs) enable communication between vehicles to avoid the accident. Cluster is a technique in VANETs used to group vehicles. The aim of this thesis is to mitigate uplink load at Base-Stations (BSs) resulted from the following: first, increased number of vehicles in the urban city leads to an increase in the number of cluster head (CH) in the network while each CH required uplink channel from BS. Second, increased vehicles mobility makes the clusters unstable and try to reserve another uplink channel from the BS. Third, the handover problem in the cell edges makes the CHs try to reconnect with the BS. Fourth, duplicated information sent from CHs to the BSs at the intersections make the BSs loaded by unnecessary information. This study proposed an Efficient Up-link Load Reduction (EULR) model to mitigate the uplink load at BSs. EULR model consisted of three parts: the first part, two novel algorithms Smart CH Election (SCHE) and Hybrid Cluster-Head Election (HCHE) to increase cluster stability and reduce the number of CHs changes in the network by selecting the best vehicle as cluster head (CH) based on two dynamic thresholds. Second part, Intelligent Cluster-Head (ICH) method is proposed which aims to mitigate handover problem of a CHs at the cell edge of a neighbor's BSs by transferring uplink connection to the CH that has the highest RSS and hence reducing load at the BSs. Last part, Dynamic Multi-Agent (DMA) method is proposed to avoid duplicated information transmission from CHs at intersections to the BSs. The DMA method filtered the CHs information by sending only new information to the BS; therefore, this method helped to reduce the load at BSs. Performance of the EULR model is evaluated through simulation with real-time datasets. Overall, the EULR model reduces the number of CHs by 9.53%, increased CHs stability by 40.38%, achieved less packet loss by 26.81% and reduced the duplicated information at the intersection by 81% than the previous related works. Finally, the proposed methods have shown significant network performance results compared to previous related works as stated in this thesis.

Item Type: Thesis (Doctoral)
Subjects: T Technology > TE Highway engineering. Roads and pavements > TE210-228.3 Construction details. Including foundations, maintenance, equipment
Divisions: Faculty of Electrical and Electronic Engineering > Department of Electrical Engineering
Depositing User: Mrs. Sabarina Che Mat
Date Deposited: 22 Jun 2021 03:23
Last Modified: 22 Jun 2021 03:23

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