1. DSR
&
OLSR
Routing
Protocols

2. In this topic, transmission probabilities of
802.11p for VANETs and effect of these
probabilities on average transmission time can
be modeled. To measure the effect of these
VANETs probabilities in routing protocols,
Dynamic Source Routing (DSR) can be used.
Modeling
Enhanceme
nts In DSR
Under
Mobility
And
Scalability
Constraints
In VANETs

3. A Clustering approach based routing protocol
for VANETs can be designed. This designed
algorithm is a distributed clustering algorithm
together with OLSR Routing protocol which
can show excellent Data dissemination rate and
performance in terms of End to End delay and
overhead.
Efficient
Clustering
Based
OLSR
Routing
Protocol
For
VANET

4. An optimization strategy to fine-tune
few parameters by configuring the
OLSR protocol using meta heuristic
method can be designed.
Parameters
Tuning Of
OLSR Routing
Protocol With
Meta Heuristic
Algorithm For
VANET

5. The performance of OLSR routing with help of
cognitive process can be improved that involve
in obtaining and storing knowledge on routing
strategies to opt for the most appropriate route
and also suitable channel for transmission
Cognitive
inspired
optimal
routing of
OLSR in
VANET

6. In this topic, a fast automatic
methodology can be introduced to
search for energy-efficient OLSR
configurations by utilizing a parallel
evolutionary algorithm
Fast Energy-
aware OLSR
Routing In
VANETs By
Means Of A
Parallel
Evolutionary
Algorithm

7. Here, a simulation system for VANET
called CAVENET (Cellular Automaton
based Vehicular network) can be
presented. In CAVENET, the mobility
patterns of nodes will be created by an
1-dimensional cellular automata.
Improvement
And
Performance
Evaluation Of
CAVENET: A
Network
Simulation Tool
For Vehicular
Networks

8. The performance of the proactive
OLSR routing protocol can be
enhanced by decreasing the uncertainty
in the routing information using Fuzzy
Rough Set Theory (FR).
Improvement
Of Optimized
Link State
Routing
Protocol For
VANET Using
Fuzzy Rough
Set

9. A fast automatic methodology to search for
energy-efficient OLSR configurations can be
introduced by utilizing a parallel evolutionary
algorithm.
Fast Energy-
aware OLSR
Routing In
VANETs By
Means Of A
Parallel
Evolutionary
Algorithm

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