An Improved GPSR on Similarity Models in Vehicular Networks
Citation
Vongpasith Phouthone, Zhu Xiao, Dong Wang, Vincent Havyarimanag "An Improved GPSR on Similarity Models in Vehicular Networks", International Journal of Engineering Trends and Technology (IJETT), V46(6),355-362 April 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Due to the highly dynamic network
topology of vehicular ad hoc networks (VANETs),
using the simple greedy forwarding based only on
the position information to select the closest nexthop
which may not move toward to the destination
vehicle. Thus, the greedy-perimeter stateless routing
(GPSR) routing protocol may miss out on some
suitable next-hop vehicles to forward a data packet.
In this paper, we propose a next-hop selection
algorithm for improvement of the GPSR routing. The
concept of cosine similarity and speed similarity is
adopted, which take into account the the velocity
vector and speed information of vehicles into
consideration. The vehicle with largest similarity
value is chosen as the suitable next-hop to forward a
data packet. The performance of the proposed
algorithm by simulation demonstrates significant
increases of packet delivery ratio and reductions of
average end-to-end delay compared to the
traditional GPSR routing protocol.
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Keywords
GPSR, Next-hop selection, Similarity,
VANETs.