Date of Award
2019
Publication Type
Master Thesis
Degree Name
M.Sc.
Department
Computer Science
Keywords
Authentication, Cluster Head, Clustering, DSRC, ITS, VANET
Supervisor
Arunita Jaekel
Rights
info:eu-repo/semantics/openAccess
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Abstract
The emergence of Vehicular Adhoc Networks (VANETs) is expected support variety of applications for driver assistance, traffic efficiency and road safety. For proper transmission of messages in VANET, one of the proposed solutions is dividing the network into clusters and then selecting a cluster head (CH) in each cluster. This can decrease the communication overhead between road side units (RSUs) and other components of VANETs, because instead of every node communicating with RSU, only CH communicates with RSU and relays relevant messages. In clustering, an important step is the selection of CH. In this thesis, we implemented vehicle to vehicle (V2V), cluster head to road side unit and road side unit to trusted authority authentication for the clustered network. We also presented a heuristic algorithm for selecting a suitable vehicle as the cluster head in a cluster. For the selection of head vehicle, we used weighted fitness values based on three parameters; trust value, position from the cluster boundary and absolute relative average speed. Simulation results indicate that the proposed approach can lead to improvements in terms of QoS metrics like delay, throughput and packet delivery ratio.
Recommended Citation
SHAHID, MUHAMMAD ANWAR, "Fixed Cluster Based Cluster Head Selection Algorithm in Vehicular Adhoc Network" (2019). Electronic Theses and Dissertations. 7737.
https://scholar.uwindsor.ca/etd/7737